Accident Analysis and Prevention

(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. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling149
Safety of micro-mobility: Analysis of E-Scooter crashes by mining news reports127
Influence of traffic congestion on driver behavior in post-congestion driving111
A systematic mapping review of surrogate safety assessment using traffic conflict techniques105
The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis103
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP100
Traffic accident detection and condition analysis based on social networking data99
Analyzing driver behavior under naturalistic driving conditions: A review98
Mandated societal lockdown and road traffic accidents98
The impact of the connected environment on driving behavior and safety: A driving simulator study92
Crash data augmentation using variational autoencoder88
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections83
E-Scooter safety: The riding risk analysis based on mobile sensing data79
A deep learning based traffic crash severity prediction framework76
Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles72
Automated traffic incident detection with a smaller dataset based on generative adversarial networks71
Coronavirus disease 2019: What could be the effects on Road safety?71
Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions69
Application of association rules mining algorithm for hazardous materials transportation crashes on expressway66
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions60
Mobile phone use among car drivers and motorcycle riders: The effect of problematic mobile phone use, attitudes, beliefs and perceived risk58
Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles57
Injury severity analysis of truck-involved crashes under different weather conditions57
Adolescent driving behavior before and during restrictions related to COVID-1957
Roles of infrastructure and land use in bicycle crash exposure and frequency: A case study using Greater London bike sharing data57
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain55
A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers55
A comparative study of state-of-the-art driving strategies for autonomous vehicles52
Do High Visibility Enforcement programs affect aggressive driving behavior? An empirical analysis using Naturalistic Driving Study data52
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors52
Observational-based study to explore pedestrian crossing behaviors at signalized and unsignalized crosswalks51
The adaptability and challenges of autonomous vehicles to pedestrians in urban China50
Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles50
The impact of COVID-19 on road safety in Canada and the United States49
A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw49
Analysis of the transition condition of rear-end collisions using time-to-collision index and vehicle trajectory data49
Knowledge transfer for occupational health and safety: Cultivating health and safety learning culture in construction firms48
Fifty Years of Accident Analysis & Prevention: A Bibliometric and Scientometric Overview48
Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece48
Drivers’ gap acceptance behaviours at intersections: A driving simulator study to understand the impact of mobile phone visual-manual interactions47
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 arterial46
Examining imbalanced classification algorithms in predicting real-time traffic crash risk46
Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry46
A cooperative collision-avoidance control methodology for virtual coupling trains46
Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving46
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research46
Not gendered… but different from each other? A structural equation model for explaining risky road behaviors of female and male pedestrians46
Analyzing traffic violation behavior at urban intersections: A spatio-temporal kernel density estimation approach using automated enforcement system data46
Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques45
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 approach44
A statistical study of railway safety in China and Japan 1990–202044
Combined impact of road and traffic characteristic on driver behavior using smartphone sensor data43
Comparing the risky behaviours of shared and private e-scooter and bicycle riders in downtown Brisbane, Australia43
Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means42
Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approach42
Modeling pedestrians’ near-accident events at signalized intersections using gated recurrent unit (GRU)42
Operation analysis of freeway mixed traffic flow based on catch-up coordination platoon42
The mediating effect of driver characteristics on risky driving behaviors moderated by gender, and the classification model of driver’s driving risk41
Factors influencing the injury severity of single-bicycle crashes41
Predicting driver takeover performance in conditionally automated driving41
A hierarchical bayesian peak over threshold approach for conflict-based before-after safety evaluation of leading pedestrian intervals41
Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods40
Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining40
A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics40
A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data40
Alcohol-impaired driving in rural and urban road environments: Effect on speeding behaviour and crash probabilities40
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data39
Random parameters Bayesian hierarchical modeling of traffic conflict extremes for crash estimation39
An integrated methodology for real-time driving risk status prediction using naturalistic driving data39
Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach39
A high-resolution trajectory data driven method for real-time evaluation of traffic safety39
Comparison of threshold determination methods for the deceleration rate to avoid a crash (DRAC)-based crash estimation39
Risk perception and the warning strategy based on safety potential field theory39
Older adults’ acceptance of fully automated vehicles: Effects of exposure, driving style, age, and driving conditions39
A long short-term memory-based framework for crash detection on freeways with traffic data of different temporal resolutions39
Electric scooters accidents: Analyses of two Swedish accident data sets39
Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes38
Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology38
Automated vehicle crash sequences: Patterns and potential uses in safety testing38
Safety analysis of freeway on-ramp merging with the presence of autonomous vehicles38
Unobserved heterogeneity and the effects of driver nationality on crash injury severities in Saudi Arabia38
Revisiting freeway single tunnel crash characteristics analysis: A six-zone analytic approach37
Safety assessment of highly automated driving systems in test tracks: A new framework37
How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama?36
Antecedents of safety behavior in construction: A literature review and an integrated conceptual framework36
A real-time video surveillance system for traffic pre-events detection36
Using long short term memory and convolutional neural networks for driver drowsiness detection36
Multi-type Bayesian hierarchical modeling of traffic conflict extremes for crash estimation36
Temporal stability of the factors related to the severity of drivers’ injuries in rear-end collisions36
Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles35
Assessment pedestrian crossing safety using vehicle-pedestrian interaction data through two different approaches: Fixed videography (FV) vs In-Motion Videography (IMV)35
Self-learning adaptive traffic signal control for real-time safety optimization35
Applying hierarchical logistic models to compare urban and rural roadway modeling of severity of rear-end vehicular crashes35
Effects of automatic emergency braking systems on pedestrian crash risk35
A Bayesian spatial Poisson-lognormal model to examine pedestrian crash severity at signalized intersections35
How do fatalistic beliefs affect the attitudes and pedestrian behaviours of road users in different countries? A cross-cultural study35
Impact of cyberattacks on safety and stability of connected and automated vehicle platoons under lane changes35
Using vehicular trajectory data to explore risky factors and unobserved heterogeneity during lane-changing35
The application and extension of the theory of planned behavior to an analysis of delivery riders’ red-light running behavior in China34
Transport safety and human factors in the era of automation: What can transport modes learn from each other?34
Turn signal use among motorcyclists and car drivers: The role of environmental characteristics, perceived risk, beliefs and lifestyle behaviours34
Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and random parameters34
Changes in shared and private e-scooter use in Brisbane, Australia and their safety implications34
Factors that influence parents’ intentions of using autonomous vehicles to transport children to and from school34
Effectiveness of augmented reality warnings on driving behaviour whilst approaching pedestrian crossings: A driving simulator study33
Fault diagnosis for train plug door using weighted fractional wavelet packet decomposition energy entropy33
What drives people to use automated vehicles? A meta-analytic review33
Evaluating driver eye glance behavior and secondary task engagement while using driving automation systems33
Speeding through the pandemic: Perceptual and psychological factors associated with speeding during the COVID-19 stay-at-home period33
Does initial experience affect consumers’ intention to use autonomous vehicles? Evidence from a field experiment in Beijing33
A copula-based approach for jointly modeling crash severity and number of vehicles involved in express bus crashes on expressways considering temporal stability of data33
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. cities33
Fuzzy Surrogate Safety Metrics for real-time assessment of rear-end collision risk. A study based on empirical observations32
Crash modification functions for pavement surface condition and geometric design indicators32
Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control32
A taxonomy of driving errors and violations: Evidence from the naturalistic driving study32
Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis32
Safety stressors, safety-specific trust, and safety citizenship behavior: A contingency perspective32
Combined latent class and partial proportional odds model approach to exploring the heterogeneities in truck-involved severities at cross and T-intersections31
How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling31
Effect of highway directional signs on driver mental workload and behavior using eye movement and brain wave31
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data31
A spatiotemporal analysis of motorcyclist injury severity: Findings from 20 years of crash data from Pennsylvania31
A Motorcyclist-Injury Severity Analysis: A Comparison of Single-, Two-, and Multi-Vehicle Crashes Using Latent Class Ordered Probit Model31
Psychophysiological responses to takeover requests in conditionally automated driving31
The effectiveness of different types of motorcycle helmets – A scoping review30
Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology30
Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network30
Towards better road safety management: Lessons learned from inter-national benchmarking30
Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factors30
A correlated random parameters approach to investigate large truck rollover crashes on mountainous interstates30
Exploration of the relationship among roadway characteristics, operating speed, and crashes for city streets using path analysis29
Studying bicyclists’ perceived level of safety using a bicycle simulator combined with immersive virtual reality29
Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data29
Driving safety assessment for ride-hailing drivers29
Driving simulators to evaluate road geometric design effects on driver behaviour: A systematic review29
Are collision and crossing course surrogate safety indicators transferable? A probability based approach using extreme value theory29
Rear-end collision warning of connected automated vehicles based on a novel stochastic local multivehicle optimal velocity model28
Investigating conflict behaviours and characteristics in shared space for pedestrians, conventional bicycles and e-bikes28
Identifying heterogeneous factors for driver injury severity variations in snow-related rural single-vehicle crashes28
Driver distraction and its effects on partially automated driving performance: A driving simulator study among young-experienced drivers28
Predicting effects of built environment on fatal pedestrian accidents at location-specific level: Application of XGBoost and SHAP28
An examination of teen drivers’ car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system28
Risk-taking behaviors of e-scooter users: A survey in Paris28
Improving the transferability of the crash prediction model using the TrAdaBoost.R2 algorithm28
Modelling injury severity of bicyclists in bicycle-car crashes at intersections28
Assessment of tire failure related crashes and injury severity on a mountainous freeway: Bayesian binary logit approach28
Links between observed and self-reported driving anger, observed and self-reported aggressive driving, and personality traits28
Investigating rear-end collision avoidance behavior under varied foggy weather conditions: A study using advanced driving simulator and survival analysis27
Fatal pedestrian crashes at intersections: Trend mining using association rules27
Crash risk and subjective risk perception during urban cycling: Evidence for congruent and incongruent sources27
Practical advantage of crossed random intercepts under Bayesian hierarchical modeling to tackle unobserved heterogeneity in clustering critical versus non-critical crashes27
Safety of Raised Pavement Markers in Freeway Tunnels Based on Driving Behavior27
Towards activity-based exposure measures in spatial analysis of pedestrian–motor vehicle crashes27
Trajectory data based freeway high-risk events prediction and its influencing factors analyses27
Takeover requests for automated driving: The effects of signal direction, lead time, and modality on takeover performance27
Prediction of rear-end conflict frequency using multiple-location traffic parameters27
Estimation of safety performance functions for urban intersections using various functional forms of the negative binomial regression model and a generalized Poisson regression model27
Assessing the explanatory and predictive performance of a random parameters count model with heterogeneity in means and variances27
On random-parameter count models for out-of-sample crash prediction: Accounting for the variances of random-parameter distributions27
Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data27
Safety effectiveness and performance of lane support systems for driving assistance and automation – Experimental test and logistic regression for rare events27
Sleep in highly automated driving: Takeover performance after waking up27
A novel approach in probabilistic quantification of risks within the context of maritime supply chain: The case of extreme weather events in the Arctic26
Short-term effects of ambient temperature and road traffic accident injuries in Dalian, Northern China: A distributed lag non-linear analysis26
Influence of familiarity with traffic regulations on delivery riders’ e-bike crashes and helmet use: Two mediator ordered logit models26
Bus crash risk evaluation: An adjusted framework and its application in a real network26
Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes26
Analysis of pedestrian-vehicle crash injury severity factors in Colorado 2006–201626
Prediction of vehicle occupants injury at signalized intersections using real-time traffic and signal data25
Low-cost road marking measures for increasing safety in horizontal curves: A driving simulator study25
A thousand years of crash experience in three hours: An online hazard perception training course for drivers25
Safety improvements by intelligent connected vehicle technologies: A meta-analysis considering market penetration rates25
Single-vehicle crash severity outcome prediction and determinant extraction using tree-based and other non-parametric models25
Factors influencing pedestrians’ decision to cross the road by risky rolling gap crossing strategy at intersections in Dhaka, Bangladesh25
Advanced vehicle technologies and road safety: A scoping review of the evidence25
Exploring drivers’ mental workload and visual demand while using an in-vehicle HMI for eco-safe driving25
A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns25
Study of typical electric two‐wheelers pre-crash scenarios using K-medoids clustering methodology based on video recordings in China25
A conceptual system dynamics model for cybersecurity assessment of connected and autonomous vehicles25
Profiling drivers to assess safe and eco-driving behavior – A systematic review of naturalistic driving studies25
Factors associated with driver injury severity of lane changing crashes involving younger and older drivers25
Multi-vehicle interaction safety of connected automated vehicles in merging area: A real-time risk assessment approach25
Computational prediction of head-ground impact kinematics in e-scooter falls25
Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data25
⋆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 arterials25
Understanding the deterrent impact formal and informal sanctions have on illegal smartphone use while driving24
Effectiveness of resampling methods in coping with imbalanced crash data: Crash type analysis and predictive modeling24
Driving-Related Behaviours, Attitudes and Perceptions among Australian Medical Cannabis Users: Results from the CAMS 18-19 Survey24
A random parameter logistic model of fatigue-related motorcycle crash involvement in Hanoi, Vietnam24
Underestimation tendencies of vehicle speed by pedestrians when crossing unmarked roadway24
Risky business: Comparing the riding behaviours of food delivery and private bicycle riders24
Propensity score methods for road safety evaluation: Practical suggestions from a simulation study24
The contribution of driving with friends to young drivers’ intention to take risks: An expansion of the theory of planned behavior24
Evaluation of tunnel retro-reflective arch in an extra-long tunnel based on the matter-element extension method24
Simulated driving performance among daily and occasional cannabis users23
How effective are Fatigue Risk Management Systems (FRMS)? A review23
Traffic volume and crashes and how crash and road characteristics affect their relationship – A meta-analysis23
Operational factor analysis of the aggressive taxi speeders using random parameters Bayesian LASSO modeling approach23
Using empirical traffic trajectory data for crash risk evaluation under three-phase traffic theory framework23
Alcohol-impaired Walking in 16 Countries: A Theory-Based Investigation23
Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models23
Knowledge of and trust in advanced driver assistance systems23
Evaluating the causal effects of cellphone distraction on crash risk using propensity score methods23
Investigating the interaction between pedestrian behaviors and crashes through validation of a pedestrian behavior questionnaire (PBQ)23
The prevalence of alcohol and other drugs in fatal road crashes in Victoria, Australia23
Understanding take-over performance of high crash risk drivers during conditionally automated driving23
Understanding the potential of emerging digital technologies for improving road safety23
Study of work zone traffic safety under adverse driving conditions with a microscopic traffic simulation approach23
Does elderly safety matter? Associations between built environments and pedestrian crashes in Seoul, Korea23
A systematic review of factors associated with illegal drug driving23
Application of explainable machine learning for real-time safety analysis toward a connected vehicle environment23
Cyclist crash rates and risk factors in a prospective cohort in seven European cities23
The trade-off between safety and time in the red light running behaviors of pedestrians: A random regret minimization approach23
Understanding how relationships between crash frequency and correlates vary for multilane rural highways: Estimating geographically and temporally weighted regression models22
Exploring factors affecting the injury severity of freeway tunnel crashes: A random parameters approach with heterogeneity in means and variances22
Impact speed and the risk of serious injury in vehicle crashes22
Spatial heterogeneity analysis of macro-level crashes using geographically weighted Poisson quantile regression22
Theory of planned behaviour, psychological stressors and intention to avoid violating traffic rules: A Multi-Level modelling analysis22
Speed characteristics of speed pedelecs, pedelecs and conventional bicycles in naturalistic urban and rural traffic conditions22
The dynamic tradeoff between safety and efficiency in discretionary lane-changing behavior: A random parameters logit approach with heterogeneity in means and variances22
Modelling brake transition time of young alcohol-impaired drivers using hazard-based duration models22
Temporal instability assessment of injury severities of motor vehicle drivers at give-way controlled unsignalized intersections: A random parameters approach with heterogeneity in means and variances22
A driver behavior assessment and recommendation system for connected vehicles to produce safer driving environments through a “follow the leader” approach22
Correlated mixed logit modeling with heterogeneity in means for crash severity and surrogate measure with temporal instability22
Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review22
Examining risky riding behavior in India using Motorcycle rider behavior questionnaire22
Optimal design alternatives of advance guide signs of closely spaced exit ramps on urban expressways22
Detecting driver fatigue using heart rate variability: A systematic review22
The predictive capacity of the MADYMO ellipsoid pedestrian model for pedestrian ground contact kinematics and injury evaluation22
Effects of partially automated driving on the development of driver sleepiness21
Real-time signal-vehicle coupled control: An application of connected vehicle data to improve intersection safety21
Systematic literature review of 10 years of cyclist safety research21
Propensities of red light running of pedestrians at the two-stage crossings with split pedestrian signal phases21
Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model21
Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust21
The effects of alcohol intoxication on cognitive functions critical for driving: A systematic review21
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach21
Evaluating the impact of Heavy Goods Vehicle driver monitoring and coaching to reduce risky behaviour21
Young and under the influence: A systematic literature review of the impact of cannabis on the driving performance of youth21
Effects of Partial Sleep Deprivation on Braking Response of Drivers in Hazard Scenarios21
A new method of temporal and spatial risk estimation for lane change considering conventional recognition defects21
Effectiveness of implementing the criminal administrative punishment law of drunk driving in China: An interrupted time series analysis, 2004-201721
Injury-severity analysis of intercity bus crashes in Ghana: A random parameters multinomial logit with heterogeneity in means and variances approach21
Older adult pedestrian trauma: A systematic review, meta-analysis, and GRADE assessment of injury health outcomes from an aggregate study sample of 1 million pedestrians21
Understanding the effects of vehicle platoons on crash type and severity21
How much sleep do you need? A comprehensive review of fatigue related impairment and the capacity to work or drive safely21
A data-driven feature learning approach based on Copula-Bayesian Network and its application in comparative investigation on risky lane-changing and car-following maneuvers21
Analysis of pedestrian accident injury-severities at road junctions and crossings using an advanced random parameter modelling framework: The case of Scotland20
The effects of takeover request lead time on drivers’ situation awareness for manually exiting from freeways: A web-based study on level 3 automated vehicles20