Teenage drivers: patterns of risk

The impact of LLM chatbots on learning outcomes in advanced driver assistance systems education

Our study investigates the efficacy of ChatGPT-assisted learning in enhancing the understanding of Advanced Driver Assistance Systems (ADAS) functionalities, comparing it against conventional paper-based learning methods. By employing multiple-choice questionnaires and the NASA Task Load Index to evaluate comprehension and cognitive load, we aimed to assess the impact of interactive Large Language Model (LLM)-driven learning on knowledge acquisition and learner satisfaction. Our findings indicate that participants who engaged with ChatGPT-based training scored higher (on average 11% higher) in correctness and experienced lower cognitive and physical demands, suggesting a more effective and less stressful learning process. This study contributes by highlighting ChatGPT's potential to accommodate a wide range of learning preferences and improve the comprehension of complex systems or topics. This adaptability was evident across diverse educational backgrounds among young adult participants, showcasing the tool's ability to bridge knowledge gaps more efficiently than conventional methods. Our research advocates the integration of LLM-driven tools in educational and policy-making frameworks to improve the effectiveness of teaching complex systems. This suggests broader applicability and necessitates further investigation into the scalability and effectiveness of ChatGPT-based training across different demographics and learning domains, potentially informing future educational strategies.

How does attention deficit/hyperactivity disorder affect driving behavior components? Baseline findings from Persian traffic cohort

PURPOSE

Attention-deficit/hyperactivity disorder (ADHD) increases the risk of road traffic injuries through various mechanisms including higher risky driving behaviors. Therefore, drivers with ADHD are shown to be more prone to road traffic injuries. This study was conducted in a community-based sample of drivers to determine how ADHD affects driving behavior components.

METHODS

At the cross-sectional phase of a national population-based cohort, a representative sample of 1769 drivers were enrolled. Manchester driving behavior questionnaire and Conners' adult ADHD rating scales were used to assess driving behavior and ADHD symptom scores, respectively. Data were analyzed using Stata version 17. Multiple linear regression was used to investigate the association of driving behavior with ADHD while adjusting for the potential confounding role of age, sex, marital status, educational level, driving history, etc. RESULTS: According to the results, the normalized driving behavior score of drivers with ADHD was 4.64 points higher than drivers without ADHD. Having an academic compared to school education, increased the driving behavior score by 1.73 points. The normalized driving behavior score of drivers under 18 years of age was 6.27 points higher than drivers aged 31 - 45 years. The score of the aggressive violation subscale of drivers with ADHD was 7.33 points higher than drivers without ADHD compared to an increment of a range of 4.50-4.82 points for other driving subscales. The score of the ordinary violation subscale of female drivers was 2.23 points lower than that of male drivers. No significant relationship was found between sex and other subscales of driving.

CONCLUSION

Drivers with ADHD who are in adolescence or early adulthood exhibit more dangerous and aggressive driving behaviors than those who are older. Implementing training interventions to increase awareness of drivers with ADHD, their families, and psychologists regarding the effects of ADHD on driving is an essential step in preventing motor vehicle crashes among drivers with ADHD.

Examining Patterns and Predictors of ADHD Teens' Skill-Learning Trajectories During Enhanced FOrward Concentration and Attention Learning (FOCAL+) Training

OBJECTIVE

Examine patterns and predictors of skill learning during multisession Enhanced FOrward Concentration and Attention Learning (FOCAL+) training.

BACKGROUND

FOCAL+ teaches teens to reduce the duration of off-road glances using real-time error learning. In a randomized controlled trial, teens with ADHD received five sessions of FOCAL+ training and demonstrated significant reductions in extended glances (>2-s) away from the roadway (i.e., long-glances) and a 40% reduced risk of a crash/near-crash event. Teens' improvement in limiting long-glances as assessed after each FOCAL+ training session has not been examined.

METHOD

Licensed teen (ages 16-19) drivers with ADHD (n = 152) were randomly assigned to five sessions of either FOCAL+ or modified standard driver training. Teens completed driving simulation assessments at baseline, after each training session, and 1 month and 6 months posttraining. Naturalistic driving was monitored for one year.

RESULTS

FOCAL+ training produced a 53% maximal reduction in long-glances during postsession simulated driving. The number of sessions needed to achieve maximum performance varied across participants. However, after five FOCAL+ training sessions, number of long-glances was comparable irrespective of when teens achieved their maximum performance. The magnitude of reduction in long-glances predicted levels of long-glances during simulated driving at 1 month and 6 months posttraining but not naturalistic driving outcomes. FOCAL+ training provided the most benefit during training to teens who were younger and had less driving experience.

CONCLUSION

FOCAL+ training significantly reduces long-glances beginning at the 1st training session.

APPLICATION

Providing five FOCAL+ training sessions early on during teen driving may maximize benefit.

The difference in physical and mental fatigue development between novice young adult and experienced middle-aged adult drivers during simulated automated driving

INTRODUCTION

Novice young adult drivers are at higher risk of being involved in an accident. Many studies have studied young adult drivers' risk-taking behaviors under manual driving conditions. However, limited studies have examined novice young adult drivers' fatigue during driving. Such issues could be more prominent in automated driving conditions. Studying novice young adult driver fatigue development under automated driving could provide a better understanding of the young adult driver's crash factors, and in turn, prevent the accidents. Therefore, this study is designed to understand the novice young adult driver's fatigue under automated driving.

METHOD

In this study, 16 participants from novice young adult drivers (≤19 years old) and experienced middle-aged adult (≥21 years old) driver groups were recruited for a 1.5-hour automated driving task. The subjectively rated fatigue and discomfort questionnaire and electrocardiogram were used to measure fatigue development.

RESULTS

The results showed that novice young adult drivers developed fatigue faster and more severely than experienced middle-aged adult drivers under automated driving. Specifically, novice young adult drivers had a higher heart rate reduction and higher subjective ratings on the factors of over-drained, drowsy, uninterested, stiff joints, tense muscles, and numbness as compared with experienced middle-aged adult drivers. Novice young adult drivers were found to have an earlier onset of mental fatigue than experienced middle-aged adult drivers at 30 min of driving, while their physical fatigue was found to have a later onset at 60 min and 90 min of driving.

CONCLUSIONS

Novice young adult drivers develop both physical and mental fatigue earlier than experienced middle-aged adult drivers during automated driving.

PRACTICAL APPLICATIONS

The result suggests that fatigue alarm features should be considered when designing automated vehicles for novice young adult drivers.

Factors Influencing Participation and Engagement in a Teen Safe Driving Intervention: A Qualitative Study

(1) Background: Few teen driving safety programs focus on increasing parental engagement with high-risk teen drivers, specifically those with a traffic violation. This study explored parents'/guardians' ('parents') experiences with a teen driving safety program, ProjectDRIVE, including facilitators and barriers to program engagement. (2) Methods: We conducted virtual, semi-structured interviews with parents who completed ProjectDRIVE, which included in-vehicle driving feedback technology and individualized virtual training with parents on effective parent-teen communication. (3) Results: Twenty interviews (with 17 females and three males) were transcribed verbatim and independently coded by three coders using systematic, open, and focused coding. Three major themes were identified: factors influencing a parent's initial decision to participate, factors influencing continued engagement, and perceived benefits of participation. The decision to participate was influenced by these subthemes: parental motivation to help their teen, perceived program usefulness, program endorsement, program incentives, parents' busy schedules, and lack of access to a car/internet. Subthemes impacting continued engagement included enhanced communication skills, teen willingness to engage, strong parental engagement, and teens' other priorities. Perceived benefits included greater self-efficacy in communication, improved communication patterns and frequency, and enhanced parent-teen relationships. (4) Conclusions: These findings may set the foundation for developing and implementing future court-ordered parent-based teen safe driving programs for teens with traffic citations.

A method to enhance drivers' hazard perception at night based on "knowledge-attitude-practice" theory

During nighttime driving, the inherent challenges of low-illuminance conditions often lead to an increased crash rate and higher fatalities by impairing drivers' ability to recognize imminent hazards. While the severity of this issue is widely recognized, a significant research void exists with regard to strategies to enhance hazard perception under such circumstances. To address this lacuna, our study examined the potential of an intervention grounded in the knowledge-attitude-practice (KAP) framework to bolster nighttime hazard detection among drivers. We engaged a cohort of sixty drivers split randomly into an intervention group (undergoing specialized training) and a control group and employed a holistic assessment that combined eye movement analytics, physiological response monitoring, and driving performance evaluations during simulated scenarios pre- and post-intervention. The data showed that the KAP-centric intervention honed drivers' visual search techniques during nighttime driving, allowing them to confront potential threats with reduced physiological tension and ensuring more adept vehicle handling. These compelling findings support the integration of this methodology in driver training curricula and present an innovative strategy to enhance road safety during nighttime journeys.

Neuroanatomical correlates of distracted straight driving performance: a driving simulator MRI study across the lifespan

Background

Driving is the preferred mode of transportation for adults across the healthy age span. However, motor vehicle crashes are among the leading causes of injury and death, especially for older adults, and under distracted driving conditions. Understanding the neuroanatomical basis of driving may inform interventions that minimize crashes. This exploratory study examined the neuroanatomical correlates of undistracted and distracted simulated straight driving.

Methods

One-hundred-and-thirty-eight participants (40.6% female) aged 17-85 years old (mean and SD = 58.1 ± 19.9 years) performed a simulated driving task involving straight driving and turns at intersections in a city environment using a steering wheel and foot pedals. During some straight driving segments, participants responded to auditory questions to simulate distracted driving. Anatomical T1-weighted MRI was used to quantify grey matter volume and cortical thickness for five brain regions: the middle frontal gyrus (MFG), precentral gyrus (PG), superior temporal cortex (STC), posterior parietal cortex (PPC), and cerebellum. Partial correlations controlling for age and sex were used to explore relationships between neuroanatomical measures and straight driving behavior, including speed, acceleration, lane position, heading angle, and time speeding or off-center. Effects of interest were noted at an unadjusted p-value threshold of 0.05.

Results

Distracted driving was associated with changes in most measures of straight driving performance. Greater volume and cortical thickness in the PPC and cerebellum were associated with reduced variability in lane position and heading angle during distracted straight driving. Cortical thickness of the MFG, PG, PPC, and STC were associated with speed and acceleration, often in an age-dependent manner.

Conclusion

Posterior regions were correlated with lane maintenance whereas anterior and posterior regions were correlated with speed and acceleration, especially during distracted driving. The regions involved and their role in straight driving may change with age, particularly during distracted driving as observed in older adults. Further studies should investigate the relationship between distracted driving and the aging brain to inform driving interventions.

ProjectDRIVE: study protocol for a randomized controlled trial to improve driving practices of high-risk teen drivers with a traffic violation

BACKGROUND

Teen drivers with a traffic violation are at increased risk for crashes and crash-related injuries; however, most parent-focused interventions target teen drivers with supervised learner's permits. Very few interventions are implemented at the probationary driver's license stage or target high-risk teen drivers, such as those with traffic violations. This paper describes the protocol of ProjectDRIVE, A Randomized Controlled Trial to Improve Driving Practices of High-Risk Teen Drivers with a Traffic Violation, which targets improving parent-teen communication about safe driving practices to reduce unsafe driving behaviors and traffic violation recidivism of teen drivers cited for traffic violation.

METHODS

Teen drivers (ages 16 or 17) cited for a moving violation and the parent/legal guardian most involved with the teen's driving are recruited from juvenile traffic courts following their required court hearing. After completing informed consent/assent, enrolled dyads are randomized into one of three groups using stratified block randomization: control, device feedback only, or device feedback plus parent communication training. Participating dyads are followed for 6 months with 3 months of active intervention. Using in-vehicle device and smartphone application technology, the study provides real-time and cumulative driving feedback to intervention teens and collects continually recorded, objectively measured driving outcome data throughout the teen's study participation. Primary outcomes include rates of risky driving events and unsafe driving behaviors per 1000 miles driven. Secondary outcomes include traffic violation recidivism up to 12 months following study completion and frequency and quality of parent-teen communication about safe driving practices.

DISCUSSION

Through partnership with the local juvenile traffic courts, this study integrates recruitment and randomization into existing court practices. Successfully completing this study will significantly impact juvenile traffic court's practices and policies by informing judges' decisions regarding the driving safety programs they refer to teens to prevent motor vehicle crashes and crash-related injuries and deaths. Trial registration The study was registered on ClinicalTrials.gov Registry (NCT04317664) on March 19, 2020, https://clinicaltrials.gov/study/NCT04317664 and updated on April 27, 2021. This protocol was developed per the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) Checklist.

Booster Dose of Attention Training Program for Young Novice Drivers: A Longitudinal Driving Simulator Evaluation Study

OBJECTIVE

We examined the effectiveness of a second exposure to ACCEL, a novel driving training program, on latent hazard anticipation (HA) performance several months after their first exposure.

BACKGROUND

Past research has demonstrated that PC-based driver training programs can improve latent HA performance in young novice drivers, but these improvements are below the ceiling level.

METHOD

Twenty-five participants were randomly assigned to either the Placebo group, the ACCEL-1 group, or the ACCEL-2 group. Following the completion of the assigned training program, participants drove a series of eighteen scenarios incorporating latent hazards in a high-fidelity driving simulator with their eyes tracked. Participants returned two to six months following the first session and completed either the placebo program (ACCEL-1 and Placebo groups), or a second dose of training program (ACCEL-2 group), again followed by simulated evaluation drives.

RESULTS

The ACCEL-2 group showed improved HA performance compared to the ACCEL-1 and Placebo groups in the second evaluation.

CONCLUSION

ACCEL enhances young novice drivers' latent HA performance. The effectiveness of ACCEL is retained up to 6 months, and a second dose further improves HA performance.

APPLICATION

Policy makers should consider requiring such training before the completion of graduate driver license programs. Young novice drivers that do not show successful latent HA performance could be required to complete additional training before being allowed to drive without restrictions.

Parenting in the context of driving: Spanish adaptation of the Family Climate for Road Safety (FCRSS) for parents and children

The Family Climate for Road Safety Scale (FCRSS; Taubman - Ben-Ari & Katz - Ben-Ami, 2013) is a comprehensive measure originally developed in Israel to assess parent-children relations in the specific context of driving. The scale consists of seven dimensions: Modelling, Feedback, Communication, Monitoring, Messages, Limits, and Non-commitment to Safety. While the original FCRSS examines the young drivers' perception across the seven domains, a version applicable to parents has also been developed by the same authors. The current study investigates the validity and reliability of the FCRSS-Spain for both parents and young drivers. A total of 377 parents (199 fathers and 178 mothers) and 243 of their children (143 daughters and 100 sons) responded to the FCRSS-Spain versions and provided sociodemographic data. In addition, the young drivers completed the Spanish version of the Multidimensional Driving Style Inventory (MDSI-Spain). Results from exploratory structural equation modelling (ESEM) indicate that six out of the seven FCRSS domains were replicable among Spanish drivers. The Messages dimension did not emerge as a consistent factor in the FCRSS for either parents or young drivers. All six factors demonstrated good internal consistency reliability (ordinal alpha coefficients exceeding 0.70), except for Non-commitment to safety. Significant differences were found between mothers and fathers in various FCRSS dimensions in the predicted direction, whereas no significant differences in FCRSS scores were found between young men and young women. As expected, associations were found between parents' scores in various FCRSS dimensions and the reckless, angry, dissociative, anxious, and careful driving styles reported by the young drivers, as well as between young drivers' FCRSS scores and their self-reported reckless, angry, dissociative, anxious, and careful driving styles.

Feature selection for driving style and skill clustering using naturalistic driving data and driving behavior questionnaire

Driver's driving style and driving skill have an essential influence on traffic safety, capacity, and efficiency. Through clustering algorithms, extensive studies explore the risk assessment, classification, and recognition of driving style and driving skill. This paper proposes a feature selection method for driving style and skill clustering. We create a supervised machine learning model of driver identification for driving behavior data with no ground truth labels on driving style and driving skill. The key features are selected based on permutation importance with the underlying assumption that the key features for clustering should also play an important role in characterizing individual drivers. The proposed method is tested on naturalistic driving data. We introduce 18 feature extraction methods and generate 72 feature candidates. We find five key features: longitudinal acceleration, frequency centroid of longitudinal acceleration, shape factor of lateral acceleration, root mean square of lateral acceleration, and standard deviation of speed. With the key features, drivers are clustered into three groups: novice, experienced cautious, and experienced reckless drivers. The ability of each feature to describe individuals' driving style and skill is evaluated using the Driving Behavior Questionnaire (DBQ). For each group, the driver's response to DBQ key questions and their distribution of key features are analyzed to prove the validity of the feature selection result. The feature selection method has the potential to understand driver's characteristics better and improve the accuracy of driving behavior modeling.

Exploring the effects of road type on drivers' eye behavior and workload

The number of traffic accidents is increasing every year. This study researched the effect of road type on driver's workload and eye behavior. The results showed that the road type has an effect on workload, pupil diameter, fixation rate and number of fixations. The workload, pupil diameter, fixation rate and number of fixations have a positive correlation with the complexity of road conditions. The research on visual attention area found that the driver's attention area during driving includes the rear-view mirror, left mirror, right mirror and middle area of the interface. In addition, the search range in the horizontal direction is largest under the urban road condition. Drivers focus on the ahead situation in the expressway condition, and the driver focuses on the opposite and front road in the rural road condition. The research results can be used for drivers' training in the future.

Trends in Passenger Seat Belt Use Among High School Students-United States, 1991-2019

PURPOSE

Despite having the highest risk per miles driven for motor vehicle crash involvement, only 57% of US high school students reported always using a seat belt when riding in a car with another driver in 2019.

METHODS

Data from the national Youth Risk Behavior Surveys conducted biennially from 1991 to 2019 were used to assess trends in seat belt use. Modified Poisson regression with robust variance estimates and linear splines was used to examine seat belt use trend changes overall and by gender, race/ethnicity, and grade.

RESULTS

From 1991 to 2015, seat belt use was about 3.3% higher each survey cycle compared with the previous survey cycle, adjusting for gender, race/ethnicity, and age. After 2015, seat belt use was about 1.8% lower each survey cycle than the previous survey cycle, adjusting for the same covariates.

DISCUSSION

New and effective strategies should be considered for promoting consistent seat belt use among US high school students.

Risky Roads in Kuwait: An Uneven Toll on Migrant Workers

This descriptive study reveals trends in citations and traffic-related mortality in Kuwait. Secondary data were utilized, where data on road traffic citations were obtained from the traffic police in the Ministry of Interior for the years from 2011 to 2015, and road traffic mortality data for the study period were obtained from the Ministry of Health.

OBJECTIVE

To describe recent trends in data related to road traffic safety in Kuwait over time, which could serve as an important indicator for the level of enforcement of existing traffic regulations. Descriptive summary statistics are presented.

RESULTS

There was a total of 24.2 million traffic violations during the study period. The number rose dramatically from 4 million citations in 2011 to nearly 6.5 million in 2015. The indirect method of citation (issued indirectly via surveillance methods) constituted a higher percentage of citations, 70.4%, compared to the direct method of citation (issued directly by the police officer), 29.6%. Furthermore, the top reason for citation was speeding, followed by parking in no parking/handicapped zones, driving with an expired license, and crossing a red light. Road traffic fatalities (RTFs) in Kuwait from 2011 to 2015 totaled 2282. About 450 people die each year in Kuwait from road traffic injuries and a slightly decreasing trend was found. Non-Kuwaitis have RTF counts that are four times higher than Kuwaitis, with 1663 and 263 deaths, respectively.

CONCLUSIONS

Road traffic safety continues to be a major problem in Kuwait. Increases in citation issuance show a rise in traffic regulation enforcement, yet risky driving behaviors continue to account for most violations issued. Harsher penalties, road safety education, and implementing graduated driving licensing may be warranted to increase the safety of the roads.

The Prevalence of Several Risky Driving Behaviors and Associated Crash Risk in Adolescent: A Population-Based Study of Tuscany Region

Objectives: To evaluate the prevalence of numerous risky driving behaviors (RDBs) and the associated risk of road traffic accidents (RTA) in a population-based sample of adolescent drivers (14–19 years) of Tuscany, Italy.

Methods: The frequency of participation -by age and sex- often RDBs were investigated: Multivariable analyses were performed to evaluate the association between RDBs and the risk of RTA and severe RTA.

Results: 2,737 adolescents were included in the study. Talking to passenger(s), listening to loud music, speeding, and texting showed the highest weekly participation rates. For all the considered RDBs, the frequency of participation significantly increased with age. Males reported a significantly higher participation in speeding, DUI of alcohol or drugs; while females reported listening to loud music and talking to passenger(s) more frequently. All the considered RDBs were significantly associated with the risk of RTA and severe RTA.

Conclusion: The prevalence of RDBs and the associated risk of RTA largely varied in adolescents. Findings provide evidence for tailoring prevention interventions and suggest the need to include common- but traditionally overlooked- RDBs in road safety campaigns.

Long-term effects of the German zero tolerance law for novice drivers

INTRODUCTION

In 2007, the German legislature introduced a zero tolerance law (ZTL) for novice drivers to reduce the number of alcohol-related crashes. The purpose of our study was to evaluate the long-term effects of this law on current and former novice drivers.

METHOD

Our approach was threefold: first, we used individual data of police records from 2003-2018 and conducted a cohort analysis to examine how the first cohort affected by the law responded in the long-term. Second, we analyzed the influence of the ZTL on alcohol-related traffic offenses by current novice drivers. Third, we conducted a survey to examine if the acceptance, knowledge, and behavior regarding the ZTL have changed compared to a decade ago.

RESULTS

The number of alcohol-related crashes was significantly lower in the first affected cohort than in earlier cohorts. Moreover, current novice drivers had lower levels of alcohol-related crashes and alcohol-related traffic offenses than did novice drivers before the ZTL became effective. The survey showed a high level of acceptance and knowledge in both current and first cohort and a decreased importance of drinking and driving.

CONCLUSION

The ZTL is associated with a long-term increase of traffic safety in Germany. Former novice drivers appear to have retained learned behavior toward drinking and driving. Thus, the ZTL might have an impact on perceived norms resulting in less acceptance of drinking and driving. Changes in society, like lower alcohol consumption and decreased importance of passenger cars among young people, further accelerated these effects. Practical applications: ZTL for novice drivers are an effective way to improve traffic safety. It is associated with a positive effect on traffic safety even when drivers were no longer directly affected by the measure. These findings suggest that policies are an effective tool to improve traffic safety and help towards achieving Vision Zero.

Vision, Driving Exposure, and Collisions in Bioptic Drivers

SIGNIFICANCE

Lack of knowledge regarding the mileage driven by drivers with low vision who use bioptic telescopes could obscure the relationship between vision and road safety. This study provides data suggesting that worse vision is correlated with less mileage driven but more collisions per mile in bioptic drivers.

PURPOSE

The purpose of this study was to determine whether vision or demographic factors predict mileage driven in bioptic drivers and per-mile motor vehicle collision rate and also to compare the collision rate of bioptic drivers with previous estimates for the general population.

METHODS

Driver data were collected retrospectively from clinic records. Collision data were collected from the Ohio Bureau of Motor Vehicles database. Subjects were also asked to estimate their yearly mileage. Regression models were used to investigate relationships between vision and collision rates.

RESULTS

Seventy-three licensed Ohio bioptic drivers (36 male) were included. Mean ± standard deviation age was 51 ± 16 years. Mean logMAR visual acuity was 0.67 (approximately 20/100). Mean log contrast sensitivity was 1.57. Mean reported annual mileage was 9746. Age, sex, and previous (nonbioptic) driving experience were not associated with mileage. LogMAR visual acuity was inversely related to mileage (P = .02), and contrast sensitivity (P = .01) and horizontal visual field (P = .02) were directly associated with mileage. Visual acuity (P = .02) and visual field (P = .005), but not contrast sensitivity (P = .19), were associated with number of collisions.

CONCLUSIONS

Visual acuity, visual field, and contrast sensitivity were associated with driving exposure in bioptic drivers (with drivers with poorer vision reporting lower annual mileage), and poorer visual acuity and visual field were associated with more collisions. The per-mile collision rate for bioptic drivers was within the range of that previously reported for fully sighted drivers, although higher than would be expected for fully sighted drivers of similar age distribution.

Young adults in motor vehicle collisions in Norway: user safety errors observed in majority of cases with severe or fatal injuries

PURPOSE

We performed a multidisciplinary investigation of young adults involved in motor vehicle collisions (MVCs) to elucidate injury mechanisms and the role of passive safety equipment such as seat belts and airbags.

METHODS

MVCs resulting in death or serious injuries to the driver or passengers aged 16-24 years in southeastern Norway during 2013-2016 were investigated upon informed consent. We assessed the crash scene, the motor vehicle (MV) interior and exterior, and analyzed data from medical records, forensic autopsies and reports from police and civil road authorities.

RESULTS

This study included 229 young adult occupants involved in 212 MVCs. The Maximum Abbreviated Injury Scale (MAIS) score was ≥2 in 111 occupants, of which 22 were fatalities. In 59% (65/111) of the cases with MAIS score ≥2 injuries, safety errors and occupant protection inadequacies were considered to have contributed to the injury outcome. Common errors were seatbelt non-use and misuse, carrying insecure luggage, and the seat back being too reclined. MAIS score ≥2 head/neck injuries were observed in side impacts despite correct seatbelt use, related to older MVs lacking side airbag curtains. The independent risk factors for MAIS score ≥2 injuries included not using a seatbelt, driving under the influence of alcohol or drugs, nighttime driving, side impacts, heavy collision partner, and MV deformation.

CONCLUSION

User safety errors (not using a seatbelt, seatbelt misuse, excessive seat-back reclining, and insecure cargo) and a lack of occupant protection in older MVs resulted in young adults sustaining severe or fatal injuries in MVCs.

Structural anatomy and temporal trends of road accident research: Full-scope analyses of the field

INTRODUCTION

Scholarly research on road accidents over the past 50 years has generated substantial literature. We propose a robust search strategy to retrieve and analyze this literature.

METHOD

Analyses was focused on estimating the size of this literature and examining its intellectual anatomy and temporal trends using bibliometric indicators of its articles.

RESULTS

The size of the literature is estimated to have exceeded N = 25,000 items as of 2020. At the highest level of aggregation, patterns of term co-occurrence in road accident articles point to the presence of six major divisions: (i) law, legislation & road trauma statistics; (ii) vehicular safety technology; (iii) statistical modelling; (iv) driving simulator experiments of driving behavior; (v) driver style and personality (social psychology); and (vi) vehicle crashworthiness and occupant protection division. Analyses identify the emergence of various research clusters and their progress over time along with their respective influential entities. For example, driver injury severity " and crash frequency show distinct characteristics of trending topics, with research activities in those areas notably intensified since 2015 Also, two developing clusters labelled autonomous vehicle and automated vehicle show distinct signs of becoming emerging streams of road accident literature.

CONCLUSIONS

By objectively documenting temporal patterns in the development of the field, these analyses could offer new levels of insight into the intellectual composition of this field, its future directions, and knowledge gaps. Practical Applications: The proposed search strategy can be modified to generate specific subsets of this literature and assist future conventional reviews. The findings of temporal analyses could also be instrumental in informing and enriching literature review sections of original research articles. Analyses of authorships can facilitate collaborations, particularly across various divisions of accident research field.

In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection

Worldwide, motor vehicle accidents are one of the leading causes of death, with alcohol-related accidents playing a significant role, particularly in child death. Aiming to aid in the prevention of this type of accidents, a novel non-invasive method capable of detecting the presence of alcohol inside a motor vehicle is presented. The proposed methodology uses a series of low-cost alcohol MQ3 sensors located inside the vehicle, whose signals are stored, standardized, time-adjusted, and transformed into 5 s window samples. Statistical features are extracted from each sample and a feature selection strategy is carried out using a genetic algorithm, and a forward selection and backwards elimination methodology. The four features derived from this process were used to construct an SVM classification model that detects presence of alcohol. The experiments yielded 7200 samples, 80% of which were used to train the model. The rest were used to evaluate the performance of the model, which obtained an area under the ROC curve of 0.98 and a sensitivity of 0.979. These results suggest that the proposed methodology can be used to detect the presence of alcohol and enforce prevention actions.

Design and evaluation of a rural intersection conflict warning system and alternative designs among various driver age groups

Advanced Rural Intersection Conflict Warning Systems (RICWS) were deployed as countermeasures to reduce severe right-angle crashes at rural thru-STOP controlled intersections across the United States (U.S.). The simulator study designed and evaluated alternative RICWS designs to existing RICWS interventions, in varying rural driving scenarios, across age groups (N = 40 novice teenage, 40 middle-aged, and 40 older drivers). Each participant was randomly assigned to a RICWS design, either the original or an alternative, and drove through sequences of 17 thru-STOP controlled rural intersections (nine RICWS intervention and eight control intersections). Drivers' gap acceptance performance, intersection driving performance, traffic violation behaviors and self-reported workload were evaluated between intervention and control intersections. Regression models, applying the Generalized Estimating Equation (GEE), enabled efficacy determination of each RICWS design and an aggregated RICWS intervention effect, averaged across all simulated RICWS designs, among different levels of moderating factors. The safety performance and possible risks associated with the use of different RICWS designs were identified. Specifically, the original RICWS design had a significantly greater risk of STOP-sign violations at clear-view intersections with low traffic volumes, compared with control intersections (Risk Ratio = 2.18, 95% CI = 1.03 to 4.64). Except for Alternative RICWS Design 1, the alternative RICWS designs did not appear to outperform the Original RICWS Design. The moderating effects of drivers' ages and intersection types on aggregated RICWS intervention effects were also examined. This study provides important safety implications for development and evaluation of intelligent intersection warning systems, targeted to vulnerable driver populations at high-risk rural intersections.

Trajectories of self-regulatory driving practices: Role of learner phase practice

INTRODUCTION

Previous research suggests that driving practice in diverse contexts may contribute to earlier licensure and improve driving skills among teen drivers. However, few studies have examined the role of practice diversity in driving outcomes post-licensure. Specifically, examining self-regulatory driving practices post-licensure may provide insight into the extent to which teens choose to avoid driving various environments. The current study examined the relationship between learner phase driving practice diversity and teen self-regulatory driving practices over the first six months of licensure.

METHODS

Fifty-six newly licensed 16-year-olds reported pre-licensure practice diversity, driving exposure and, self-regulatory driving practices at three timepoints (within 2 weeks of licensure and at 3 and 6 months post-licensure).

RESULTS

Multi-level models revealed self-regulatory driving practices significantly decreased over the first six months of independent driving. Practice in complex environments (e.g., on a commercial road, on a highway, etc.) was associated with fewer self-regulatory driving practices at baseline. Practice in simple environments (e.g., in a residential area, in a parking lot) was associated with more self-regulatory driving practices at baseline. Practice driving at night and in bad weather conditions predicted greater post-licensure self-regulation of driving in those specific environments.

CONCLUSION

This study reinforces the importance of practice diversity for teens before independent driving, as early practice can have implications for self-regulatory driving practices immediately upon licensure. Future research examining this topic may inform parent-based interventions to maximize teen driver safety during the critical post-licensure period.

Quantifying the effect of roadway, driver, vehicle, and location characteristics on the frequency of longitudinal and lateral accelerations

The purpose of this study is to understand and quantify the simultaneous effects of roadway speed category, driver age, driver gender, vehicle class, and location on the rates of longitudinal and lateral acceleration epochs. The rate of usual as well as harsh acceleration epochs are used to extract insights on driving risk and driver comfort preferences. However, an analysis of acceleration rates at multiple thresholds incorporating various effects while using a large-scale and diverse dataset is missing. This analysis will fill this research gap. Data from the 2nd Strategic Highway Research Program Naturalistic Driving Study (SHRP2 NDS) was used for this analysis. The rate of occurrence of acceleration epochs was modeled using negative binomial distribution based generalized linear mixed effect models. Roadway speed category, driver age, driver gender, vehicle class, and location were used as the fixed effects and the driver identifier was used as the random effect. Incidence rate ratios were then calculated to compare subcategories of each fixed effect. Roadway speed category has the strongest effect on longitudinal and lateral accelerations of all magnitudes. Acceleration epoch rates consistently decrease as the roadway speed category increases. The difference in the rates depends on the threshold and is up to three orders of magnitude. Driver age is another significant factor with clear trends for longitudinal and lateral acceleration epochs. Younger and older drivers experience higher rates of longitudinal accelerations and decelerations. However, the rate of lateral accelerations consistently decreases with age. Vehicle class also has a significant effect on the rate of harsh accelerations with minivans consistently experiencing lower rates.

Road Safety as a Public Health Problem: Case of Ecuador in the Period 2000–2019

Background: Road safety is a significant public health problem because it causes negative consequences on victims and families. The objective was to analyze the most significant changes in traffic crashes in Ecuador during the period from 2000 to 2019. With data obtained from the National Institute of Statistics and Census, we performed the analysis to identify: the number of traffic crashes, the number of victims, and other study variables. Methods: Descriptive and analytical statistics and the contrast of proportions were used to analyze data from 2000 to 2019. Results: According to the ideal joinpoint analysis model, there was a significant decrease in the number of recorded traffic accidents from 2015 to 2019 of −8.54 per year, while the tendency to die increased in females (2.05 per year) and males (3.29 per year). The most common crash was a collision, and the automobile appeared as the most involved vehicle from 2015 to 2019. The hypothesis test contrast is used to determine if statistically significant differences exist between age groups by gender of the driver injured in the period 2017–2018. Conclusions: This study determines the most significant changes in the variables related to traffic crashes, where mortality due to this cause in the last four years has had a growth rate of 1.8% compared to collisions that presented a rate of −31.12%. The contrast of the hypothesis test shows significant differences in the injury level between males and female drivers, depending on the age group.

Profiles of Risky Driving Behaviors in Adolescent Drivers: A Cluster Analysis of a Representative Sample from Tuscany Region (Italy)

(1) Background: Research on patterns of risky driving behaviors (RDBs) in adolescents is scarce. This study aims to identify distinctive patterns of RDBs and to explore their characteristics in a representative sample of adolescents. (2) Methods: this is a cross-sectional study of a representative sample of Tuscany Region students aged 14–19 years (n = 2162). The prevalence of 11 RDBs was assessed and a cluster analysis was conducted to identify patterns of RDBs. ANOVA, post hoc pairwise comparisons and multivariate logistic regression models were used to characterize cluster membership. (3) Results: four distinct clusters of drivers were identified based on patterns of RDBs; in particular, two clusters—the Reckless Drivers (11.2%) and the Careless Drivers (21.5%)—showed high-risk patterns of engagement in RDBs. These high-risk clusters exhibited the weakest social bonds, the highest psychological distress, the most frequent participation in health compromising and risky behaviors, and the highest risk of a road traffic accident. (4) Conclusion: findings suggest that it is possible to identify typical profiles of RDBs in adolescents and that risky driving profiles are positively interrelated with other risky behaviors. This clustering suggests the need to develop multicomponent prevention strategies rather than addressing specific RDBs in isolation.

Bayesian adjustment for measurement error in an offset variable in a Poisson regression model

Fatal car crashes are the leading cause of death among teenagers in the USA. The Graduated Driver Licensing (GDL) programme is one effective policy for reducing the number of teen fatal car crashes. Our study focuses on the number of fatal car crashes in Michigan during 1990–2004 excluding 1997, when the GDL started. We use Poisson regression with spatially dependent random effects to model the county level teen car crash counts. We develop a measurement error model to account for the fact that the total teenage population in the county level is used as a proxy for the teenage driver population. To the best of our knowledge, there is no existing literature that considers adjustment for measurement error in an offset variable. Furthermore, limited work has addressed the measurement errors in the context of spatial data. In our modelling, a Berkson measurement error model with spatial random effects is applied to adjust for the error-prone offset variable in a Bayesian paradigm. The Bayesian Markov chain Monte Carlo (MCMC) sampling is implemented in rstan. To assess the consequence of adjusting for measurement error, we compared two models with and without adjustment for measurement error. We found the effect of a time indicator becomes less significant with the measurement-error adjustment. It leads to our conclusion that the reduced number of teen drivers can help explain, to some extent, the effectiveness of GDL.

A Deeper Look at Autonomous Vehicle Ethics: An Integrative Ethical Decision-Making Framework to Explain Moral Pluralism

The autonomous vehicle (AV) is one of the first commercialized AI-embedded robots to make autonomous decisions. Despite technological advancements, unavoidable AV accidents that result in life-and-death consequences cannot be completely eliminated. The emerging social concern of how an AV should make ethical decisions during unavoidable accidents is referred to as the moral dilemma of AV, which has promoted heated discussions among various stakeholders. However, there are research gaps in explainable AV ethical decision-making processes that predict how AVs' moral behaviors are made that are acceptable from the AV users' perspectives. This study addresses the key question: What factors affect ethical behavioral intentions in the AV moral dilemma? To answer this question, this study draws theories from multidisciplinary research fields to propose the "Integrative ethical decision-making framework for the AV moral dilemma." The framework includes four interdependent ethical decision-making stages: AV moral dilemma issue framing, intuitive moral reasoning, rational moral reasoning, and ethical behavioral intention making. Further, the framework includes variables (e.g., perceived moral intensity, individual factors, and personal moral philosophies) that influence the ethical decision-making process. For instance, the framework explains that AV users from Eastern cultures will tend to endorse a situationist ethics position (high idealism and high relativism), which views that ethical decisions are relative to context, compared to AV users from Western cultures. This proposition is derived from the link between individual factors and personal moral philosophy. Moreover, the framework proposes a dual-process theory, which explains that both intuitive and rational moral reasoning are integral processes of ethical decision-making during the AV moral dilemma. Further, this framework describes that ethical behavioral intentions that lead to decisions in the AV moral dilemma are not fixed, but are based on how an individual perceives the seriousness of the situation, which is shaped by their personal moral philosophy. This framework provides a step-by-step explanation of how pluralistic ethical decision-making occurs, reducing the abstractness of AV moral reasoning processes.

Psychosocial factors associated with the self-reported frequency of cell phone use while driving in Iran

Cell phone use while driving is a common contributing factor in thousands of road traffic injuries every year globally. Despite extensive research investigating the risks associated with cell phone use while driving, social media campaigns to raise public awareness and a number of laws banning phone use while driving, this behaviour remains prevalent throughout the world. The current study was conducted in Iran, where road traffic injuries are the leading causes of death and disability, and where drivers continue to use their cell phones, despite legislative bans restricting this behaviour. A total of 255 drivers in the city of Mashhad (male = 66.3%; mean age = 30.73 years; SD = 9.89) completed either an online or a paper-based survey assessing the self-reported frequency of using a cell phone while driving. Psychosocial factors contributing to cell phone use while driving and support for legislation restricting this behaviour, as well as the Big Five personality traits, were also measured. Overall, the results showed that almost 93% of drivers use their cell phones while driving at least once a week, with 32.5% reporting they always use their cell phones while driving. Ordinal logistic regression revealed that the presence of a child passenger, age, perceived benefits and risks of using cell phones while driving, as well as the perceived ability to drive safely while using a cell phone, were strongly associated with the frequency of cell phone use while driving. As for personality traits-extraversion, agreeableness and conscientiousness significantly predicted the frequency of cell phone use in this sample of Iranian drivers.

The mediating effect of driver characteristics on risky driving behaviors moderated by gender, and the classification model of driver's driving risk

High-risk drivers are more likely to be involved in traffic accidents, and the driving risk level of drivers could be affected by many potential factors, such as demographics and personality traits. Based on the Structural Equation Model (SEM), this study involves a sample of 3150 drivers from the Strategic Highway Research Program 2 (SHRP 2), to explore the relationships among drivers' demographic characteristics (gender, age, and cumulative driving years), sensation seeking, risk perception, and risky driving behaviors. More specifically, the mediation model of driver characteristics on risky driving behaviors moderated by gender is constructed by the SEM. The results show that the effects of driving experience on risky driving behaviors are partially mediated by sensation seeking and risk perception for male drivers, while those are completely mediated by sensation seeking and risk perception for female drivers. Moreover, the development trend of risky driving behavior engagements declines greater with the growing of driving experience for female drivers than male drivers. Finally, a classification model of the driver's driving risk is proposed by the Random Forest classifier, in which the driving risk level of the driver evaluated by the crash and near-crash rate could be classified through the driver's self-reported demographics, sensation seeking, risk perception, and risky driving behaviors. The classification accuracy achieves up to 90 percent, which offers an alternative approach to identifying potential high-risk drivers to reduce property losses, injuries, and death caused by traffic accidents.

Cannabis and crash risk among older drivers

The purpose of this research was to reanalyze data collected from the National Highway Traffic Safety Administration's Drug and Alcohol Crash Risk Study to investigate whether driving under the influence of cannabis (THC-positive) was associated with elevated crash risk for younger and older drivers. The data came from a case-control relative risk study collected from Virginia Beach, VA, over a 20-month period. Data collectors gathered driver information from the scene of vehicle crashes and, in some cases, from hospitals. Non-crash controls were sampled from the same locations, days, and times as crashes. Key data items included driver demographics and oral fluid and blood samples, which were assayed for licit and illicit drugs. We found no overall association between cannabis use and risk of crash involvement. However, when age and age² were allowed to interact with THC, significant interaction effects emerged. THC was associated with increased risk of crash involvement for older drivers. Difference between THC-positive and sober drivers emerged as significant at age 64. The research underscores the value of examining drugged driving in the context of driver age. Age-related declines in neurocognitive and psychomotor functioning were not measured but might be important in explaining the results.

Autopsy findings in drivers and passengers from fatal motor vehicle collisions: limited differences in injury patterns and toxicological test results

We performed a retrospective study of the injuries and characteristics of occupant fatalities in motor vehicle collisions in southeast Norway. The goal was to provide updated knowledge of injuries sustained in modern vehicles and detect possible differences in injury pattern between drivers and passengers. Forensic autopsy reports, police, and collision investigation reports from 2000 to 2014 were studied, data extracted and analyzed.

A total of 284 drivers, 80 front-seat passengers, and 37 rear-seat passengers were included, of which 67.3% died in front collisions, 13.7% in near-side impacts, 13.5% in rollovers and 5.5% in other/combined collisions. Overall, 80.5% died within one hour after the crash. The presence of fatal injuries to the head, neck, thorax and abdomen were observed in 63.6%, 10.7%, 61.6% and 27.4% respectively. All occupants with severe injuries to the head or neck had signs of direct impact with contact point injuries to the skin or skull. Injuries to the heart and spleen were less common in front-seat passengers compared to drivers. Seat belt abrasions were more common and lower extremity fractures less common in both front-seat and rear-seat passengers compared to drivers. Blood alcohol and/or drug concentrations suggestive of impairment were present in 30% of all occupants, with alcohol more often detected among front-seat passengers compared to drivers.

Few driver-specific and passenger-specific patterns of injury could be identified. When attempting to assess an occupant’s seating position within a vehicle, autopsy findings should be interpreted with caution and only in conjunction with documentation from the crash scene.

Alcohol- and speeding-related fatal crashes among novice drivers age 18-20 not fully licensed at the time of the crash

INTRODUCTION

Some teens may intentionally delay their driving licensure until age 18 or later, thereby skipping the learning and driver safety benefits provided by graduated driver licensing (GDL) programs. Delaying driving initiation could elevate teen crash risk once they begin driving. This study compares the prevalence of alcohol use and speeding among individuals aged 18-20 y/o who were not fully licensed drivers (NFLD) at the time of the fatal crash with that of their fully licensed counterparts (FLD).

MATERIALS AND METHODS

Data came from the 2010-2017 Fatality Analysis Reporting System (FARS). Census data were added to measure mean household income at drivers' zip code. Bivariate (chi-square) and logistic regressions were used to assess the likelihood young drivers were alcohol-positive and/or speeding at the time of the crash as a function of drivers' license status, demographic, socioeconomic, and the strength of GDL programs in the state.

RESULTS

Compared with females and White drivers age 18-20 y/o, males, Latino, and Black drivers were more likely to be NFLD at the time of the fatal crash (p < .0001). Living in zip codes with low median household income (p < .001) and the strength of GDL restrictions (p < .0001) were associated with individuals being NFLD at the time of the fatal crash. Alcohol-related fatal crashes were more prevalent among NFLD than FLD (p < .02).

CONCLUSIONS

The study provides indirect evidence suggesting that alcohol use may be more detrimental for NFLD than for FLD.

An examination of teen drivers' car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system

Teen drivers are overrepresented in motor vehicle crashes, and most studies concluded it was mainly due to their lack of experiences and tendencies of risk-taking. The design of advanced driving assistance systems (ADAS) aims to provide assistance in multiple stages in human information processing during driving, including environmental sensing, information processing, decision making, and vehicle controlling, in order to improve driving safety. It is expected that novice drivers may benefit more from using ADAS than adult drivers as such technologies can compensate for their frequent errors. This study examined whether and how an integrated crash warning system impacted on drivers' following behavior, and what were the corresponding age-related differences through an analysis of two unique naturalistic driving study datasets. Significant age-related differences in car-following behavior were found. Results showed potential negative effects of ADAS on teen drivers' following behavior that teen drivers tended to have less controlled pedal use during treatment weeks with ADAS than during baseline weeks without ADAS, while such behavior was not observed in adult drivers. All adult drivers tended to keep longer headways when driving at night than during daytime to compensate for poor vision conditions, but no such compensation behavior was observed in the teens. In addition, teen and young-adult drivers had more aggressive following behavior (with shorter mean time headway) than middle-aged and older drivers. One limitation of this study is that the findings of this study are only addressing the short-term effect of ADAS exposure, and future studies are needed to examine the longitudinal effect. The findings of this study suggest that the design of future ADAS should consider minimizing potential negative impacts on teen driver behavior.

Fifty Years of Accident Analysis & Prevention: A Bibliometric and Scientometric Overview

Accident Analysis & Prevention (AA&P) is a leading academic journal established in 1969 that serves as an important scientific communication platform for road safety studies. To celebrate its 50^th anniversary of publishing outstanding and insightful studies, a multi-dimensional statistical and visualized analysis of the AA&P publications between 1969 and 2018 was performed using the Web of Science (WoS) Core Collection database, bibliometrics and mapping-knowledge-domain (MKD) analytical methods, and scientometric tools. It was shown that the annual number of AA&P's publications has grown exponentially and that over the course of its development, AA&P has been a leader in the field of road safety, both in terms of innovation and dissemination. By determining its key source countries and organizations, core authors, highly co-cited published documents, and high burst-strength publications, we showed that AA&P's areas of focus include the "effects of hazard and risk perception on driving behavior", "crash frequency modeling analysis", "intentional driving violations and aberrant driving behavior", "epidemiology, assessment and prevention of road traffic injuries", and "crash-injury severity modeling analysis". Furthermore, the key burst papers that have played an important role in advancing research and guiding AA&P in new directions - particularly those in the fields of crash frequency and crash-injury severity modeling analyses were identified. Finally, a modified Haddon matrix in the era of intelligent, connected and autonomous transportation systems is proposed to provide new insights into the emerging generation of road safety studies.

Parenting style, young driver compliance and the imposition of additional driving restrictions within graduated driver licensing systems

Provisional (or intermediate) drivers do not always comply with graduated driver licensing restrictions and road laws. The aim of this study was to explore the effect of parenting style on young driver compliance with licensing restrictions. Two surveys, the first a sample of parents of provisionally licensed drivers (n = 101) from Queensland and the Australian Capital Territory (Australia), while the second, and separate sample, was of provisionally licensed drivers (n = 132) from Queensland. A series of regression analyses identified that parents who reported higher levels of control were more likely to feel responsible for their child's driving and to have a child that complied with licensing restrictions. Parents who reported higher levels of support were more likely to offer their child practical assistance in order to help them to comply with licensing restrictions. Young drivers who reported that their parents had higher levels of control were more likely to indicate that they complied with restrictions. Given that parenting style appears to influence provisional driver compliance with licensing requirements, there may be an opportunity to develop interventions to enhance compliance.

Mobility management to prevent, reduce, or delay driving a car in teenagers

BACKGROUND

Rates of injury and death caused by car crashes with teenage drivers remain high in most high-income countries. In addition to injury and death, car use includes other non-traffic risks; these may be health-related, such as physical inactivity or respiratory disease caused by air pollution, or have global significance, such as the environmental impact of car use. Research demonstrates that reducing the amount of time driving reduces the risk of injury, and it is expected that it would also reduce other risks that are unrelated to traffic. Mobility management interventions aim to increase mobility awareness and encourage a shift from private car use to active (walking, cycling, skateboarding), and public (bus, tram, train), transportation. 'Soft' mobility management interventions include the application of strategies and policies to reduce travel demand and may be instigated locally or more widely, to target a specific or a non-specific population group; 'hard' mobility management interventions include changes to the built environment or transport infrastructure and are not the focus of this review. Between the ages of 15 to 19 years, young people enter a development stage known as the 'transition teens' in which they are likely to make long-lasting lifestyle changes. It is possible that using this specific time point to introduce mobility management interventions may influence a person's long-term mobility behaviour.

OBJECTIVES

To assess whether 'soft' mobility management interventions prevent, reduce, or delay car driving in teenagers aged 15 to 19 years, and to assess whether these mobility management interventions also reduce crashes caused by teenage drivers.

SEARCH METHODS

We searched the Cochrane Injuries Group Specialised Register, CENTRAL, MEDLINE, Embase, Web of Science, and Social Policy and Practice on 16 August 2019. We searched clinical trials registers, relevant conference proceedings, and online media sources of transport organisations, and conducted backward- and forward-citation searching of relevant articles.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) or controlled before-after studies (CBAs) evaluating mobility management interventions in teenagers aged 15 to 19 years. We included informational, educational, or behavioural interventions that aimed to prevent, reduce, or delay car driving in this age group, and we compared these interventions with no intervention or with standard practice. We excluded studies that evaluated graduated drivers licensing (GDL) programmes, separate components of GDL, or interventions that act in conjunction with, or as an extension of, GDL. Such programmes aim to increase driving experience and skills through stages of supervised and unsupervised exposure, but assume that all participants will drive; they do not attempt to encourage people to drive less in the long term or promote alternatives to driving. We also excluded studies which evaluated school-based safe-driving initiatives.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed studies for inclusion, extracted data, and assessed risks of bias. We assessed the certainty of evidence with GRADE.

MAIN RESULTS

We included one RCT with 178 participants and one CBA with 860 participants. The RCT allocated university students, with a mean age of 18 years, who had not yet acquired a driving licence, to one of four interventions that provided educational information about negative aspects of car use, or to a fifth group in which no information was given. Types of educational information about car use related to cost, risk, or stress, or all three types of educational information combined. In the CBA, 860 school students, aged 17 to 18 years taking a driving theory course, had an additional interactive lesson about active transport (walking or cycling), and some were invited to join a relevant Facebook group with posts targeting awareness and habit. We did not conduct meta-analyses because we had insufficient studies. We could not be certain whether educational interventions versus no information affected people's decision to obtain a driving licence 18 months after receiving the intervention (risk ratio 0.62, 95% confidence interval 0.45 to 0.85; very low-certainty evidence). We noted that fewer participants who were given information obtained a driving licence (42.6%) compared to those who did not receive information (69%), but we had very little confidence in the effect estimate; the study had high or unclear risks of bias and the evidence was from one small study and was therefore imprecise. We could not be certain whether interventions about active transport, given during a driving theory course, could influence behavioural predictors of car use. Study authors noted: - an increased intention to use active transport after obtaining a driving licence between postintervention and an eight-week follow-up in students who were given an active transport lesson and a Facebook invitation compared to those given only the active transport lesson; and - a decrease in intention between pre- and postintervention in those given an active transport lesson and Facebook invitation compared to those given the active transport lesson only. There were high risks of bias in this CBA study design, a large amount of missing data (very few participants accepted the Facebook invitation), and data came from a single study only, so we judged the evidence to be of very low certainty. These studies did not measure our primary outcome (driving frequency), or other secondary outcomes (driving distance, driving hours, use of alternative modes of transport, or car crashes).

AUTHORS' CONCLUSIONS

We found only two small studies, and could not determine whether mobility management interventions were effective to prevent, reduce, or delay car driving in teenagers. The lack of evidence in this review raises two points. First, more foundational research is needed to discover how and why young people make decisions surrounding their personal transport, in order to find out what might encourage them to delay licensing and driving. Second, we need longitudinal studies with a robust study design - such as RCTs - and with large sample sizes that incorporate different socioeconomic groups in order to evaluate the feasibility and effectiveness of relevant interventions. Ideally, evaluations will include an assessment of how attitudes and beliefs evolve in teenagers during these transition years, and the potential effect of these on the design of a mobility management intervention for this age group.

Differences between males and females in the prediction of smartphone use while driving: Mindfulness and income

INTRODUCTION

This study examines the relationship between two variables-mindfulness and income-with regards to their relationship to the use of smartphones by young drivers, which has been known to increase the likelihood of car accidents, endangering young drivers and other road users. The study focuses on the relationship between these variables and the use of smartphones while driving, and how this relationship differs between males and females.

METHOD

The study sample included 221 young drivers who were legally permitted to drive without supervision. The subjects were first asked to complete questionnaires on mindfulness and income. Next, their smartphone use while driving was monitored over a one-month period. This study is unique as it used an objective smartphone monitoring application (rather than self-reporting) to count the number of times the young participants actually touched their smartphones while driving.

RESULTS

The findings show that the effects of social and personal factors (i.e., income and mindfulness) on the use of smartphones while driving are significant for males but not for females.

CONCLUSIONS

Most studies that investigate differences between males and females with respect to safety focus on differences in the averages of safety-related variables (such as safety performance and outcomes). In the current study, however, we identified differences in relationships between variables and demonstrated that what predicts safety-related behavior in males may not be a good predictor for females.

PRACTICAL APPLICATIONS

Mindfulness and income can be used to identify male populations that are at risk of using smartphones while driving. Interventions that improve mindfulness can be used to reduce the use of smartphones by male drivers.

Combinations of factors contribute to young driver crashes

INTRODUCTION

Motor-vehicle crashes are a leading cause of death in adolescence and young adults. A multitude of factors, including skill level, inexperience, and risk taking behaviors are associated with young drivers' crashes. This research investigated whether combinations of factors underlie crashes involving young drivers.

METHOD

A retrospective longitudinal study was conducted on population-wide one- and two-car crashes in Great Britain during years 2005-2012 per driver age (17-20, 21-29, 30-39, 40-49) and sex. Reporting officers provided their assessment of the factors contributing to crashes. Principal components analysis was conducted to identify combinations of factors underlying young drivers' crashes. Factor combinations, including challenging driving conditions, risk taking behaviors, and inexperience were implicated in young drivers' crashes.

RESULTS

Combinations of factors reveal new insights into underlying causes of crashes involving young drivers. One combination revealed that slippery roads due to poor weather pose greater risk to young drivers who are inexperienced and likely to exceed the appropriate speed. The findings motivate new policy recommendations, such as educating young drivers about the importance of adjusting their speed to the road conditions.

Characteristics of crashes and injuries among 14 and 15 year old drivers, by rurality

PURPOSE

Motor-vehicle crashes continue to be the leading cause of death for teenagers in the United States. The United States has some of the youngest legal driving ages worldwide. The objective of this study was to determine rates and factors associated with injury crashes among 14- and 15-year-old drivers and how these varied by rurality.

METHODS

Data for this cross-sectional study of 14- and 15-year-old drivers were obtained from the Iowa Department of Transportation from 2001 to 2013. Crash and injury crash rates were calculated by rurality. The relationship between crash and driver factors and injury was assessed using logistic regression.

FINDINGS

Teen drivers, aged 14 and 15 years, had a statewide crash rate of 8 per 1,000 drivers from 2001 to 2013. The majority of crashes occurred in urban areas (51%), followed by in town (29%), remote rural areas (13%), and suburban areas (7%). Crash and injury crash rates increased as level of rurality increased. The odds of an injury crash increased more than 10-fold with the presence of multiple other teens as passengers, compared to no passengers (OR = 10.7, 95% CI: 7.1-16.2).

CONCLUSIONS

Although 14- and 15-year-old drivers in Iowa have either limited unsupervised (school permits) or supervised only driving restrictions, they are overrepresented in terms of crashes and injury crashes. Rural roads and multiple teen passengers are particularly problematic in terms of injury outcomes. Practical applications: Results from this study support passenger restrictions and teen driving interventions designed with a rural focus.

Near crash characteristics among risky drivers using the SHRP2 naturalistic driving study

PROBLEM

Previous research have focused extensively on crashes, however near crashes provide additional data on driver errors leading to critical events as well as evasive maneuvers employed to avoid crashes. The Strategic Highway Research Program 2 (SHRP2) Naturalistic Driving Study contains extensive data on real world driving and offers a reliable methodology to study near crashes. The current study utilized the SHRP2 database to compare the rate and characteristics associated with near crashes among risky drivers.

METHODS

A subset from the SHRP2 database consisting of 4,818 near crashes for teen (16-19 yrs), young adult (20-24 yrs), adult (35-54 yrs), and older (70+ yrs) drivers was used. Near crashes were classified into seven incident types: rear-end, road departure, intersection, head-on, side-swipe, pedestrian/cyclist, and animal. Near crash rates, incident type, secondary tasks, and evasive maneuvers were compared across age groups. For rear-end near crashes, near crash severity, max deceleration, and time-to-collision at braking were compared across age.

RESULTS

Near crash rates significantly decreased with increasing age (p < 0.05). Young drivers exhibited greater rear-end (p < 0.05) and road departure (p < 0.05) near crashes compared to adult and older drivers. Intersection near crashes were the most common incident type among older drivers. Evasive maneuver type did not significantly vary across age groups. Near crashes exhibited a longer time-to-collision at braking (p < 0.01) compared to crashes.

SUMMARY

These data demonstrate increased total near crash rates among young drivers relative to adult and older drivers. Prevalence of specific near crash types also differed across age groups. Timely execution of evasive maneuvers was a distinguishing factor between crashes or near crashes. Practical Applications: These data can be used to develop more targeted driver training programs and help OEMs optimize ADAS to address the most common errors exhibited by risky drivers.

Neural processes during adolescent risky decision making are associated with conformity to peer influence

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Adolescents’ neural responses to risky decisions may modulate their conformity to different types of peer influence.

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Neural activity in the anterior cingulate cortex (ACC) predicted conformity to risky peers while driving.

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Connectivity between VS and risk processing regions (including insula and ACC) predicted safer driving under risky influence.

Adolescents demonstrate both heightened sensitivity to peer influence and increased risk-taking. The current study provides a novel test of how these two phenomena are related at behavioral and neural levels. Adolescent males (N = 83, 16–17 years) completed the Balloon Analogue Risk Task (BART) in an fMRI scanner. One week later, participants completed a driving task in which they drove alone and with a safety- or risk-promoting peer passenger. Results showed that neural responses during BART were associated with participants’ behavioral conformity to safe vs. risky peer influence while later driving. First, the extent that neural activation in the anterior cingulate cortex (ACC) scaled with decision stakes in BART was associated with conformity to risky peer influence. Additionally, stake-modulated functional connectivity between ventral striatum (VS) and risk processing regions (including ACC and insula) was associated with safer driving under risky peer influence (i.e. resistance to risky peer influence), suggesting that connectivity between VS and ACC as well as insula may serve a protective role under risky peer influence. Together, these results suggest that adolescents’ neural responses to risky decision making may modulate their behavioral conformity to different types of peer influence on risk taking.

The public health implications of telematic technologies: An exploratory qualitative study in the UK

INTRODUCTION

Reducing motorised transport is crucial for achieving public health goals, but cars will continue to be essential for many in the medium term. The role of emerging technologies in mitigating the public health disadvantages of this private car use has been under-examined to date. Telematics are increasingly used by novice drivers in the UK to reduce insurance premiums. An exploratory study of novice drivers' experiences of telematics identified implications for public health that warrant urgent further research.

METHODS

An exploratory qualitative study, using semi-structured interviews with 12 drivers aged 17-25 in three regions of the UK (Aberdeenshire, Hertfordshire and London).

RESULTS

Telematics were acceptable to young drivers, and reported to mitigate some negative health consequences of driving (injury risks, over-reliance on car transport), without reducing access to determinants of health such as employment or social life. However, there were suggestions that those at higher risk were less likely to adopt telematics.

CONCLUSION

Market-based mechanisms such as telematics are potential alternatives to well-evaluated policy interventions such as Graduated Driver Licensing for reducing road injury risks for novice drivers, with a different mix of risks and benefits. However, claims to date from insurance companies about the contribution of telematics to public health outcomes should be evaluated carefully to account for biases in uptake.

Risk factors of road accident severity and the development of a new system for prevention: New insights from China

Road accident fatalities and accident severity costs have become top priorities and concerns for Chinese policymakers. Understanding the principal factors that explain accident severity is considered to be the first step towards the adequate design of an accident prevention strategy. In this paper, we examine the contribution of various types of factors (vehicle, driver and others) in explaining accident severity in China. Unlike previous studies, the analysis gives a particular focus on fatal accidents. Using a large sample of 405,177 observations for 4-wheeled vehicles in the year 2017 and various statistical and econometrics approaches (e.g., OLS, quantile regression and extreme value theory), the results show that the factors explaining the severity of accidents differs significantly between normal and extreme severity accidents, e.g. across quantiles. Interestingly, we find that the gender factor is only significant for fatal accidents. In particular, the analysis shows that male drivers have an increased likelihood of extreme risk taking. On the basis of these empirical findings, a new ratemaking approach that aims to improve road safety and prevention is discussed and proposed.

Hazard Warning Systems to Improve Young Distracted Drivers’ Hazard Perception Skills

Texting while driving has been shown to impair driving performance with the greatest probability of leading to an accident. This is a great concern with young and inexperienced drivers, who are reported to be the most prolific users of texting while driving and are disproportionately involved in car crashes as compared to their experienced and older counterparts. Hazard Warning Systems (HWSs) have been researched to reduce distracted driving and improve driving performance. The first purpose of this study is to showcase a game-based, multi-player, online simulated training (GMOST) application with an integrated HWS. The second is to examine whether such an HWS integrated into the GMOST improves young and inexperienced drivers’ hazard perception skills, as measured by hazard reaction time (HRT) and horizontal road scanning (HS). A total of 22 high school students from a private school participated in this study. To determine the effects of HWS, a 2 × 2 ANOVA and a 2 × 2 MANOVA were run. The results of this study suggest that the GMOST with integrated HWS leads to earlier detection and reaction to hazards as well as wider HS by novice drivers. Therefore, this study reports that HWSs improve novice distracted drivers’ hazard perception skills. Accordingly, a wide-spread use of the GMOST-like training applications by novice drivers would be a proactive approach to lower accident rates caused by texting while driving.

Safety of motorized two-wheeler riders in the formal and informal transport sector

Road fatalities are largely preventable problem with large socioeconomic impact. Due to the rapidly increasing population, transport systems and road infrastructure have not met the demand. The use of motorized two-wheeler vehicles has increased, as informal transport. However, evidence on their safety is scarce. The aim of this article is to examine the safety and social equity issues in MTW in the informal transport sector. Factors can be used to explain traffic collisions in MTW in the formal/informal transport sectors: design, rider behavior, road design, enforcement, and regulation of the informal transport sector. Evidence suggests that MTWs could be a common related to pedestrian fatalities. Informal transport drivers are typically poor, uneducated, young men who due to lack of other employment options move into the informal sector. Their vehicles are old, unmaintained and have a lack of protective equipment for themselves and their passengers. Young, male drivers speed, take risks and not use protective equipment. Users of informal transport live in the poorer peripheries of cities, which, have limited, inefficient or unaffordable public transport. The provision of transport has therefore become an often unrecognized, important social equity issue and studies are urgently needed on MTW in the informal transport sector.

Assessment of road traffic behavior using Youth Risk Behavior Survey questionnaire among school-going adolescents of Jaipur city, Rajasthan: An observational analysis

Background:

Adolescents are a relatively healthy group, but their developmental stage makes them vulnerable to many risk-taking behaviors. One such major issue is road safety practices and their risk on roads.

Objective:

To determine road safety risk behavior among school-going adolescents of Jaipur city and factors associated with it.

Materials and Methods:

An observational, cross-sectional study was conducted from July 2015 to February 2016. A total of 900 school-going adolescents were enrolled from eight schools of Jaipur city and the Youth Risk Behavior Survey (YRBS) questionnaire was administered.

Results:

Most of the participants (67.56%) were in the age group of 13–16 years. A total of 682 (75%) adolescents were driving one or other type of vehicle to commute. Out of the 682 vehicle-using adolescents, 603 (88%) had risky behavior on roads. Driving under the influence was found more among those using four-wheelers (10%) than two-wheelers (5%). Almost half of drivers used mobile phones while driving a car or two-wheeler. There was statistically significant association between risk on roads with respect to rising education and occupation of parents. A majority (88.41%) of the school-going students were found to be at risk on roads while driving. Safety-belt was not used by 28% of the students while half did not use a helmet. More than 70% of the car drivers and two-wheeler drivers drove without license.

Conclusion:

Majority of the adolescent drivers are at risk on roads. Driving without license and/or helmet and using mobile phone are the main risk factors.

Driving distracted with friends: Effect of passengers and driver distraction on young drivers' behavior

Both passengers and driver distraction can have negative effects on young driver behavior. However, it is not known how these two concepts interact to influence driver behavior. The objective of this study was to examine the effect of passenger presence and driver distraction on young drivers' behavior. Forty-eight participants aged 18-20 participated in a driving simulator study. Participants completed three distracting tasks (visual, cognitive, or combined) while navigating a highway scenario. Results indicated that passenger presence interacted with driver distraction to have an effect on elevated g-force events in curves. Separately, distraction affected driving performance differently according to whether the task was visual, cognitive or combined. Having a close friendship resulted in less speeding and male drivers tended to maintain a better lane position compared to females. The results have implications for licensing laws as well as intervention programs aimed at improving young driver behavior.