Accident Analysis and Prevention

Papers
(The TQCC of Accident Analysis and Prevention is 15. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-09-01 to 2023-09-01.)
ArticleCitations
Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis325
Real-time crash risk prediction on arterials based on LSTM-CNN145
A safety assessment of mixed fleets with Connected and Autonomous Vehicles using the Surrogate Safety Assessment Module104
A review of spatial approaches in road safety99
Safety of micro-mobility: Analysis of E-Scooter crashes by mining news reports96
Influence of traffic congestion on driver behavior in post-congestion driving93
Crash data quality for road safety research: Current state and future directions93
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling92
Severity analysis for large truck rollover crashes using a random parameter ordered logit model92
Mandated societal lockdown and road traffic accidents90
Traffic accident detection and condition analysis based on social networking data81
Predicting real-time traffic conflicts using deep learning78
The impact of the connected environment on driving behavior and safety: A driving simulator study77
A systematic mapping review of surrogate safety assessment using traffic conflict techniques75
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP74
Investigating injury severities of motorcycle riders: A two-step method integrating latent class cluster analysis and random parameters logit model72
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections71
How many crashes can connected vehicle and automated vehicle technologies prevent: A meta-analysis70
The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis68
Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach66
Coronavirus disease 2019: What could be the effects on Road safety?65
Crash data augmentation using variational autoencoder64
Automated traffic incident detection with a smaller dataset based on generative adversarial networks64
Analyzing driver behavior under naturalistic driving conditions: A review64
Bayesian spatial-temporal model for the main and interaction effects of roadway and weather characteristics on freeway crash incidence62
E-Scooter safety: The riding risk analysis based on mobile sensing data61
Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories59
Highway crash detection and risk estimation using deep learning59
Investigating the injury severity of single-vehicle truck crashes in a developing country58
A dual perspective on risk perception and its effect on safety behavior: A moderated mediation model of safety motivation, and supervisor’s and coworkers’ safety climate57
Application of association rules mining algorithm for hazardous materials transportation crashes on expressway54
Pedestrian injury severity in motor vehicle crashes: An integrated spatio-temporal modeling approach54
Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of North Carolina54
A priori acceptance of highly automated cars in Australia, France, and Sweden: A theoretically-informed investigation guided by the TPB and UTAUT54
A deep learning based traffic crash severity prediction framework53
Exploring the who, what, when, where, and why of automated vehicle disengagements53
The role of pre-crash driving instability in contributing to crash intensity using naturalistic driving data52
Mobile phone use among car drivers and motorcycle riders: The effect of problematic mobile phone use, attitudes, beliefs and perceived risk52
Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles51
A new integrated GIS-based analysis to detect hotspots: A case study of the city of Sherbrooke51
Evaluating pedestrian vehicle interaction dynamics at un-signalized intersections: A proactive approach for safety analysis51
Adolescent driving behavior before and during restrictions related to COVID-1950
Modelling severity of pedestrian-injury in pedestrian-vehicle crashes with latent class clustering and partial proportional odds model: A case study of North Carolina50
Safety climate: Systematic literature network analysis of 38 years (1980-2018) of research49
Modelling braking behaviour and accident probability of drivers under increasing time pressure conditions47
Understanding the discretionary lane-changing behaviour in the connected environment47
Analysis of the influence of human errors on the occurrence of coastal ship accidents in different wave conditions using Bayesian Belief Networks47
Do High Visibility Enforcement programs affect aggressive driving behavior? An empirical analysis using Naturalistic Driving Study data46
Roles of infrastructure and land use in bicycle crash exposure and frequency: A case study using Greater London bike sharing data46
Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions46
A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers45
Driver-related risk factors of fatal road traffic crashes associated with alcohol or drug impairment45
The adaptability and challenges of autonomous vehicles to pedestrians in urban China44
A comparative study of safe and unsafe signalized intersections from the view point of pedestrian behavior and perception42
Vulnerable road users in low-, middle-, and high-income countries: Validation of a Pedestrian Behaviour Questionnaire42
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain42
Drivers’ gap acceptance behaviours at intersections: A driving simulator study to understand the impact of mobile phone visual-manual interactions42
Analysis of commercial truck drivers’ potentially dangerous driving behaviors based on 11-month digital tachograph data and multilevel modeling approach42
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions42
The transportation safety of elderly pedestrians: Modeling contributing factors to elderly pedestrian collisions42
Odds of culpability associated with use of impairing drugs in injured drivers in Victoria, Australia42
Observational-based study to explore pedestrian crossing behaviors at signalized and unsignalized crosswalks41
Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques41
Injury severity analysis of truck-involved crashes under different weather conditions41
A data mining approach to investigate patterns of powered two-wheeler crashes in Spain40
Evaluation of surrogate measures for pedestrian trips at intersections and crash modeling39
Fifty Years of Accident Analysis & Prevention: A Bibliometric and Scientometric Overview39
Fatal crashes in the 5 years after recreational marijuana legalization in Colorado and Washington39
A comparative study of state-of-the-art driving strategies for autonomous vehicles38
Pedestrians distracted by their smartphone: Are in-ground flashing lights catching their attention? A laboratory study38
Analysis of the transition condition of rear-end collisions using time-to-collision index and vehicle trajectory data38
Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles38
Crash risk, crash exposure, and the built environment: A conceptual review38
A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw37
Crash prediction based on traffic platoon characteristics using floating car trajectory data and the machine learning approach37
Not gendered… but different from each other? A structural equation model for explaining risky road behaviors of female and male pedestrians37
Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece37
Detection of driver manual distraction via image-based hand and ear recognition37
A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics36
Examining imbalanced classification algorithms in predicting real-time traffic crash risk36
Knowledge transfer for occupational health and safety: Cultivating health and safety learning culture in construction firms36
Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles36
Modeling pedestrians’ near-accident events at signalized intersections using gated recurrent unit (GRU)36
The temporal stability of factors affecting driver injury severity in run-off-road crashes: A random parameters ordered probit model with heterogeneity in the means approach36
Alcohol-impaired driving in rural and urban road environments: Effect on speeding behaviour and crash probabilities36
A correlated random parameters tobit model to analyze the safety effects and temporal instability of factors affecting crash rates35
A geographically weighted regression to estimate the comprehensive cost of traffic crashes at a zonal level35
In a heart beat: Using driver’s physiological changes to determine the quality of a takeover in highly automated vehicles35
Modeling when and where a secondary accident occurs35
A long short-term memory-based framework for crash detection on freeways with traffic data of different temporal resolutions35
Comparing the risky behaviours of shared and private e-scooter and bicycle riders in downtown Brisbane, Australia34
Analyzing traffic violation behavior at urban intersections: A spatio-temporal kernel density estimation approach using automated enforcement system data34
Evaluation of penalty and enforcement strategies to combat speeding offences among professional drivers: A Hong Kong stated preference experiment34
The impact of COVID-19 on road safety in Canada and the United States34
Detecting motorcycle helmet use with deep learning33
A hierarchical bayesian peak over threshold approach for conflict-based before-after safety evaluation of leading pedestrian intervals33
Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway on an urban arterial33
Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry32
Predicting driver takeover performance in conditionally automated driving32
Combined impact of road and traffic characteristic on driver behavior using smartphone sensor data32
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research32
A full Bayes approach for traffic conflict-based before–after safety evaluation using extreme value theory32
Road safety of passing maneuvers: A bivariate extreme value theory approach under non-stationary conditions32
How do fatalistic beliefs affect the attitudes and pedestrian behaviours of road users in different countries? A cross-cultural study32
“I Snapchat and Drive!” A mixed methods approach examining snapchat use while driving and deterrent perceptions among young adults32
Human-like car-following model for autonomous vehicles considering the cut-in behavior of other vehicles in mixed traffic31
Estimation of traffic conflicts using precise lateral position and width of vehicles for safety assessment31
The mediating effect of driver characteristics on risky driving behaviors moderated by gender, and the classification model of driver’s driving risk31
Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach31
Exploring microscopic driving volatility in naturalistic driving environment prior to involvement in safety critical events—Concept of event-based driving volatility31
Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods31
Assessment pedestrian crossing safety using vehicle-pedestrian interaction data through two different approaches: Fixed videography (FV) vs In-Motion Videography (IMV)31
Comparison of threshold determination methods for the deceleration rate to avoid a crash (DRAC)-based crash estimation31
The importance of flow composition in real-time crash prediction30
Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining30
Older adults’ acceptance of fully automated vehicles: Effects of exposure, driving style, age, and driving conditions30
Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approach30
Gender differences in accident risk with e-bikes—Survey data from Norway30
Ready to bully automated vehicles on public roads?30
A real-time video surveillance system for traffic pre-events detection29
A copula-based approach for jointly modeling crash severity and number of vehicles involved in express bus crashes on expressways considering temporal stability of data29
Combined latent class and partial proportional odds model approach to exploring the heterogeneities in truck-involved severities at cross and T-intersections29
Factors influencing the injury severity of single-bicycle crashes29
Random parameters Bayesian hierarchical modeling of traffic conflict extremes for crash estimation29
Mapping the knowledge domain of road safety studies: A scientometric analysis29
Electric scooters accidents: Analyses of two Swedish accident data sets29
Turn signal use among motorcyclists and car drivers: The role of environmental characteristics, perceived risk, beliefs and lifestyle behaviours29
Assessing driver acceptance of technology that reduces mobile phone use while driving: The case of mobile phone applications29
Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving29
A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data29
Applying hierarchical logistic models to compare urban and rural roadway modeling of severity of rear-end vehicular crashes28
Safety assessment of highly automated driving systems in test tracks: A new framework28
How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama?28
Speeding through the pandemic: Perceptual and psychological factors associated with speeding during the COVID-19 stay-at-home period28
Effect of highway directional signs on driver mental workload and behavior using eye movement and brain wave28
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data28
Multi-type Bayesian hierarchical modeling of traffic conflict extremes for crash estimation28
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors28
A high-resolution trajectory data driven method for real-time evaluation of traffic safety28
Using vehicular trajectory data to explore risky factors and unobserved heterogeneity during lane-changing28
Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes28
Transport safety and human factors in the era of automation: What can transport modes learn from each other?28
Unobserved heterogeneity and the effects of driver nationality on crash injury severities in Saudi Arabia28
“It is frustrating to not have control even though I know it’s not legal!”: A mixed-methods investigation on applications to prevent mobile phone use while driving28
Self-learning adaptive traffic signal control for real-time safety optimization28
Effectiveness of augmented reality warnings on driving behaviour whilst approaching pedestrian crossings: A driving simulator study27
Comparison of different models for evaluating vehicle collision risks at upstream diverging area of toll plaza27
Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means27
VR-Based investigation of forklift operator situation awareness for preventing collision accidents27
Revisiting freeway single tunnel crash characteristics analysis: A six-zone analytic approach27
Automated vehicle crash sequences: Patterns and potential uses in safety testing27
Safety stressors, safety-specific trust, and safety citizenship behavior: A contingency perspective27
Factors that influence parents’ intentions of using autonomous vehicles to transport children to and from school27
Comparison among driving state prediction models for car-following condition based on EEG and driving features27
Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and random parameters27
Mobile phone related crashes among motorcycle taxi drivers27
Not all protected bike lanes are the same: Infrastructure and risk of cyclist collisions and falls leading to emergency department visits in three U.S. cities27
Psychophysiological responses to takeover requests in conditionally automated driving26
A Bayesian spatial Poisson-lognormal model to examine pedestrian crash severity at signalized intersections26
Risk factors of road accident severity and the development of a new system for prevention: New insights from China26
Evaluating driver eye glance behavior and secondary task engagement while using driving automation systems26
Antecedents of safety behavior in construction: A literature review and an integrated conceptual framework26
Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results26
Unsafe riding behaviors of shared-bicycle riders in urban China: A retrospective survey26
Practical advantage of crossed random intercepts under Bayesian hierarchical modeling to tackle unobserved heterogeneity in clustering critical versus non-critical crashes26
An integrated methodology for real-time driving risk status prediction using naturalistic driving data26
Towards better road safety management: Lessons learned from inter-national benchmarking26
Risk perception and the warning strategy based on safety potential field theory26
How does drivers’ visual search change as a function of experience? A systematic review and meta-analysis26
Temporal stability of the factors related to the severity of drivers’ injuries in rear-end collisions26
Errors in accident data, its types, causes and methods of rectification-analysis of the literature25
Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data25
Road crossing decisions in real and virtual environments: A comparative study on simulator validity25
The application and extension of the theory of planned behavior to an analysis of delivery riders’ red-light running behavior in China25
Safety effectiveness and performance of lane support systems for driving assistance and automation – Experimental test and logistic regression for rare events25
Investigating rear-end collision avoidance behavior under varied foggy weather conditions: A study using advanced driving simulator and survival analysis25
A systematic cost-benefit analysis of 29 road safety measures25
Does initial experience affect consumers’ intention to use autonomous vehicles? Evidence from a field experiment in Beijing25
Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis25
Using the scanners and drone for comparison of point cloud accuracy at traffic accident analysis25
Examining correlations between motorcyclist’s conspicuity, apparel related factors and injury severity score: Evidence from new motorcycle crash causation study25
Factors influencing pedestrians’ decision to cross the road by risky rolling gap crossing strategy at intersections in Dhaka, Bangladesh24
A spatiotemporal analysis of motorcyclist injury severity: Findings from 20 years of crash data from Pennsylvania24
Safety analysis of freeway on-ramp merging with the presence of autonomous vehicles24
The effectiveness of different types of motorcycle helmets – A scoping review24
Spatial analysis of traffic accidents near and between road intersections in a directed linear network24
Towards activity-based exposure measures in spatial analysis of pedestrian–motor vehicle crashes24
An examination of teen drivers’ car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system24
A statistical study of railway safety in China and Japan 1990–202024
Crash modification functions for pavement surface condition and geometric design indicators24
Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles23
Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data23
A clustering approach to developing car-to-two-wheeler test scenarios for the assessment of Automated Emergency Braking in China using in-depth Chinese crash data23
Prediction of rear-end conflict frequency using multiple-location traffic parameters23
Accounting for mediation in cyclist-vehicle crash models: A Bayesian mediation analysis approach23
Impact of real-time traffic characteristics on crash occurrence: Preliminary results of the case of rare events23
Innovative countermeasures for red light running prevention at signalized intersections: A driving simulator study23
Using long short term memory and convolutional neural networks for driver drowsiness detection23
Impact of cyberattacks on safety and stability of connected and automated vehicle platoons under lane changes23
A taxonomy of driving errors and violations: Evidence from the naturalistic driving study23
Past behaviours and future intentions: An examination of perceptual deterrence and alcohol consumption upon a range of drink driving events23
What drives people to use automated vehicles? A meta-analytic review23
Driving distracted with friends: Effect of passengers and driver distraction on young drivers’ behavior23
Are collision and crossing course surrogate safety indicators transferable? A probability based approach using extreme value theory23
Identifying heterogeneous factors for driver injury severity variations in snow-related rural single-vehicle crashes23
Pedestrian overpass use and its relationships with digital and social distractions, and overpass characteristics23
Improving the transferability of the crash prediction model using the TrAdaBoost.R2 algorithm23
Driving safety assessment for ride-hailing drivers22
A Motorcyclist-Injury Severity Analysis: A Comparison of Single-, Two-, and Multi-Vehicle Crashes Using Latent Class Ordered Probit Model22
Operation analysis of freeway mixed traffic flow based on catch-up coordination platoon22
Structural equations modeling of real-time crash risk variation in car-following incorporating visual perceptual, vehicular, and roadway factors22
Endogenous commercial driver’s traffic violations and freight truck-involved crashes on mainlines of expressway22
Exploring drivers’ mental workload and visual demand while using an in-vehicle HMI for eco-safe driving22
Are riders of electric two-wheelers safer than bicyclists in collisions with motor vehicles?22
Rear-end collision warning of connected automated vehicles based on a novel stochastic local multivehicle optimal velocity model22
Effects of automatic emergency braking systems on pedestrian crash risk22
⋆This paper has been handled by associate editor Tony Sze.The application of novel connected vehicles emulated data on real-time crash potential prediction for arterials22
Analysis of pedestrian-vehicle crash injury severity factors in Colorado 2006–201622
Animal-vehicle collisions in Texas: How to protect travelers and animals on roadways22
Adaptation of the multidimensional driving styles inventory for Spanish drivers: Convergent and predictive validity evidence for detecting safe and unsafe driving styles22
Driving simulators to evaluate road geometric design effects on driver behaviour: A systematic review22
Modelling injury severity of bicyclists in bicycle-car crashes at intersections22
Does elderly safety matter? Associations between built environments and pedestrian crashes in Seoul, Korea22
Links between observed and self-reported driving anger, observed and self-reported aggressive driving, and personality traits22
Freeway single and multi-vehicle crash safety analysis: Influencing factors and hotspots22
In the wrong place at the wrong time: Moose and deer movement patterns influence wildlife-vehicle collision risk21
Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network21
How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling21
Understanding the deterrent impact formal and informal sanctions have on illegal smartphone use while driving21
Improving freeway segment crash prediction models by including disaggregate speed data from different sources21
Assessing the explanatory and predictive performance of a random parameters count model with heterogeneity in means and variances21
Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factors21
A multivariate analysis of environmental effects on road accident occurrence using a balanced bagging approach21
A novel approach in probabilistic quantification of risks within the context of maritime supply chain: The case of extreme weather events in the Arctic21
Fault diagnosis for train plug door using weighted fractional wavelet packet decomposition energy entropy21
Prediction of vehicle occupants injury at signalized intersections using real-time traffic and signal data21
Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control21
Topic analysis of Road safety inspections using latent dirichlet allocation: A case study of roadside safety in Irish main roads21
Exploration of the relationship among roadway characteristics, operating speed, and crashes for city streets using path analysis21
Fuzzy Surrogate Safety Metrics for real-time assessment of rear-end collision risk. A study based on empirical observations21
Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology21
Changes in shared and private e-scooter use in Brisbane, Australia and their safety implications20
Propensity score methods for road safety evaluation: Practical suggestions from a simulation study20
The contribution of driving with friends to young drivers’ intention to take risks: An expansion of the theory of planned behavior20
Sleep in highly automated driving: Takeover performance after waking up20
Low-cost road marking measures for increasing safety in horizontal curves: A driving simulator study20
Modelling brake transition time of young alcohol-impaired drivers using hazard-based duration models20
Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data20
A driver behavior assessment and recommendation system for connected vehicles to produce safer driving environments through a “follow the leader” approach20
Advanced vehicle technologies and road safety: A scoping review of the evidence20
Bus crash risk evaluation: An adjusted framework and its application in a real network20
Alcohol-impaired Walking in 16 Countries: A Theory-Based Investigation20
Trajectory data based freeway high-risk events prediction and its influencing factors analyses20
Assessment of tire failure related crashes and injury severity on a mountainous freeway: Bayesian binary logit approach20
Short-term effects of ambient temperature and road traffic accident injuries in Dalian, Northern China: A distributed lag non-linear analysis20
Risk perception, worry, and pedestrian behaviour in the Norwegian population20
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data19
A cooperative collision-avoidance control methodology for virtual coupling trains19
The more (sharp) curves, the lower the risk19
On random-parameter count models for out-of-sample crash prediction: Accounting for the variances of random-parameter distributions19
Optimal design alternatives of advance guide signs of closely spaced exit ramps on urban expressways19
Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes19
Using telematics data to find risky driver behaviour19
Older adult pedestrian trauma: A systematic review, meta-analysis, and GRADE assessment of injury health outcomes from an aggregate study sample of 1 million pedestrians19
Driving-Related Behaviours, Attitudes and Perceptions among Australian Medical Cannabis Users: Results from the CAMS 18-19 Survey19
Young and under the influence: A systematic literature review of the impact of cannabis on the driving performance of youth19
Effects of Partial Sleep Deprivation on Braking Response of Drivers in Hazard Scenarios19
Modeling of time-dependent safety performance using anonymized and aggregated smartphone-based dangerous driving event data19
Underestimation tendencies of vehicle speed by pedestrians when crossing unmarked roadway19
A correlated random parameters approach to investigate large truck rollover crashes on mountainous interstates19
Understanding how relationships between crash frequency and correlates vary for multilane rural highways: Estimating geographically and temporally weighted regression models19
Investigating conflict behaviours and characteristics in shared space for pedestrians, conventional bicycles and e-bikes19
A random parameter logistic model of fatigue-related motorcycle crash involvement in Hanoi, Vietnam19
Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model18
Crash risk and subjective risk perception during urban cycling: Evidence for congruent and incongruent sources18
A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks18
Studying bicyclists’ perceived level of safety using a bicycle simulator combined with immersive virtual reality18
The predictive capacity of the MADYMO ellipsoid pedestrian model for pedestrian ground contact kinematics and injury evaluation18
Investigating the interaction between pedestrian behaviors and crashes through validation of a pedestrian behavior questionnaire (PBQ)18
Examining the effect of road horizontal alignment on the speed of semi-automated vehicles18
How much sleep do you need? A comprehensive review of fatigue related impairment and the capacity to work or drive safely18
The role of striking and struck vehicles in side crashes between vehicles: Bayesian bivariate probit analysis in China18
A thousand years of crash experience in three hours: An online hazard perception training course for drivers18
Knowledge of and trust in advanced driver assistance systems18
Drivers’ visual-distracted take-over performance model and its application on adaptive adjustment of time budget18
Evaluating the causal effects of cellphone distraction on crash risk using propensity score methods18
Safety of Raised Pavement Markers in Freeway Tunnels Based on Driving Behavior18
Estimation of safety performance functions for urban intersections using various functional forms of the negative binomial regression model and a generalized Poisson regression model18
Speed characteristics of speed pedelecs, pedelecs and conventional bicycles in naturalistic urban and rural traffic conditions18
The trade-off between safety and time in the red light running behaviors of pedestrians: A random regret minimization approach18
Determinants of the congestion caused by a traffic accident in urban road networks18
Safety improvements by intelligent connected vehicle technologies: A meta-analysis considering market penetration rates18
Impact speed and the risk of serious injury in vehicle crashes18
Macro-level accident modeling in Novi Sad: A spatial regression approach18
Single-vehicle crash severity outcome prediction and determinant extraction using tree-based and other non-parametric models18
Factors associated with driver injury severity of lane changing crashes involving younger and older drivers18
Operational factor analysis of the aggressive taxi speeders using random parameters Bayesian LASSO modeling approach18
Propensities of red light running of pedestrians at the two-stage crossings with split pedestrian signal phases18
A driving simulation study to examine the impact of available sight distance on driver behavior along rural highways18
A new method of temporal and spatial risk estimation for lane change considering conventional recognition defects17
Computational prediction of head-ground impact kinematics in e-scooter falls17
A data-driven feature learning approach based on Copula-Bayesian Network and its application in comparative investigation on risky lane-changing and car-following maneuvers17
Study of work zone traffic safety under adverse driving conditions with a microscopic traffic simulation approach17
Applying latent class analysis to investigate rural highway single-vehicle fatal crashes in China17
Comparison between elderly and young drivers’ performances on a driving simulator and self-assessment of their driving attitudes and mastery17
Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology17
Investigating factors affecting bus/minibus accident severity in a developing country for different subgroup datasets characterised by time, pavement, and light conditions17
The prevalence of alcohol and other drugs in fatal road crashes in Victoria, Australia17
Effectiveness of implementing the criminal administrative punishment law of drunk driving in China: An interrupted time series analysis, 2004-201717
Cyclist-motor vehicle collisions before and after implementation of cycle tracks in Toronto, Canada17
Association between higher-order driving instruction and risky driving behaviours: Exploring the mediating effects of a self-regulated safety orientation17
Spatial heterogeneity analysis of macro-level crashes using geographically weighted Poisson quantile regression17
Influence of familiarity with traffic regulations on delivery riders’ e-bike crashes and helmet use: Two mediator ordered logit models17
Methodological considerations with data uncertainty in road safety analysis17
A systematic review of factors associated with illegal drug driving17
Pedestrian safety at signalized intersections: Modelling spatial effects of exposure, geometry and signalization on a large urban network17
Automatic incident detection on freeways based on Bluetooth traffic monitoring17
Understanding the effects of vehicle platoons on crash type and severity17
Ranking contributors to traffic crashes on mountainous freeways from an incomplete dataset: A sequential approach of multivariate imputation by chained equations and random forest classifier17
The effects of alcohol intoxication on cognitive functions critical for driving: A systematic review17
Simulated driving performance among daily and occasional cannabis users17
Analysis of factors influencing delivery e-bikes’ red-light running behavior: A correlated mixed binary logit approach17
Application of different negative binomial parameterizations to develop safety performance functions for non-federal aid system roads17
Risk-taking behaviors of e-scooter users: A survey in Paris17
The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms17
Spatiotemporal correlation study of traffic accidents with fatalities and injuries in Bogota (Colombia)17
Reducing distracted pedestrian behavior using Bluetooth beacon technology: A crossover trial17
Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review16
Using empirical traffic trajectory data for crash risk evaluation under three-phase traffic theory framework16
Geometric effect analysis of highway-rail grade crossing safety performance16
Understanding take-over performance of high crash risk drivers during conditionally automated driving16
Do higher fuel prices help reduce road traffic accidents?16
An exploratory step for a general unified approach to labelling of road surface and tyre wet friction16
Identifying the causes of road traffic collisions: Using police officers’ expertise to improve the reporting of contributory factors data16
Risk Assessment of Commercial dangerous -goods truck drivers using geo-location data: A case study in China16
A hazard-based model of the motorcyclists’ overtaking duration16
Development and evaluation of a web-based software for crash data collection, processing and analysis16
The dynamic tradeoff between safety and efficiency in discretionary lane-changing behavior: A random parameters logit approach with heterogeneity in means and variances16
Macroscopic road safety impacts of public transport: A case study of Melbourne, Australia16
Evaluating the predictive power of an SPF for two-lane rural roads with random parameters on out-of-sample observations16
Influence of built environment on the severity of vehicle crashes caused by distracted driving: A multi-state comparison16
Evaluation of tunnel retro-reflective arch in an extra-long tunnel based on the matter-element extension method16
Fatal pedestrian crashes at intersections: Trend mining using association rules16
Traffic volume and crashes and how crash and road characteristics affect their relationship – A meta-analysis16
Investigation into passing behavior at passing zones to validate and extend the use of driving simulators in two-lane roads safety analysis16
Bicycle safety in Bogotá: A seven-year analysis of bicyclists’ collisions and fatalities16
The effects of cognitive distraction on behavioural, oculomotor and electrophysiological metrics during a driving hazard perception task16
Effect of cognitive load on drivers’ State and task performance during automated driving: Introducing a novel method for determining stabilisation time following take-over of control16
Study of typical electric two‐wheelers pre-crash scenarios using K-medoids clustering methodology based on video recordings in China16
Risky business: Comparing the riding behaviours of food delivery and private bicycle riders16
Exploring transition durations of rear-end collisions based on vehicle trajectory data: A survival modeling approach16
Theory of planned behaviour, psychological stressors and intention to avoid violating traffic rules: A Multi-Level modelling analysis16
The influence of WeChat use on driving behavior in China: A study based on the theory of planned behavior16
Differences between males and females in the prediction of smartphone use while driving: Mindfulness and income16
An integrated spatio-temporal approach to examine the consequences of driving under the influence (DUI) in crashes15
Interregional inequality and road accident rates in Spain15
Estimating near side crash injury risk in best performing passenger vehicles in the United States15
Cross-cultural differences in pedestrian behaviors in relation to values: A comparison of five countries15
Accounting for drivers’ bicycling frequency and familiarity with bicycle infrastructure treatments when evaluating safety15
Driver distraction and its effects on partially automated driving performance: A driving simulator study among young-experienced drivers15
How do drivers overtake pedestrians? Evidence from field test and naturalistic driving data15
Injury severity analysis of familiar drivers and unfamiliar drivers in single-vehicle crashes on the mountainous highways15
Takeover requests for automated driving: The effects of signal direction, lead time, and modality on takeover performance15
Spatial analysis of harsh driving behavior events in urban networks using high-resolution smartphone and geometric data15
Impact of COVID-19 on motor vehicle injuries and fatalities in older adults in Ontario, Canada15
The number of patients hospitalized with bicycle injuries is increasing - A cry for better road safety15
Cyclist crash rates and risk factors in a prospective cohort in seven European cities15
Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models15
Examining driver distraction in the context of driving speed: An observational study using disruptive technology and naturalistic data15
Validation of surrogate measures of safety with a focus on bicyclist–motor vehicle interactions15
A composite zonal index for biking attractiveness and safety15
Safety effects of traffic lane and shoulder widths on two-lane undivided rural roads: A matched case-control study from Norway15
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