Accident Analysis and Prevention

Article	Citations
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling	193
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP	144
A systematic mapping review of surrogate safety assessment using traffic conflict techniques	141
The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis	139
Analyzing driver behavior under naturalistic driving conditions: A review	132
The impact of the connected environment on driving behavior and safety: A driving simulator study	112
Traffic accident detection and condition analysis based on social networking data	109
Crash data augmentation using variational autoencoder	108
Mandated societal lockdown and road traffic accidents	106
A deep learning based traffic crash severity prediction framework	94
E-Scooter safety: The riding risk analysis based on mobile sensing data	94
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections	92
Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions	86
Automated traffic incident detection with a smaller dataset based on generative adversarial networks	81
Coronavirus disease 2019: What could be the effects on Road safety?	79
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions	75
Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles	73
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors	72
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain	69
Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving	66
A comparative study of state-of-the-art driving strategies for autonomous vehicles	63
Roles of infrastructure and land use in bicycle crash exposure and frequency: A case study using Greater London bike sharing data	61
Adolescent driving behavior before and during restrictions related to COVID-19	60
The impact of COVID-19 on road safety in Canada and the United States	60
Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles	59

Analysis of the transition condition of rear-end collisions using time-to-collision index and vehicle trajectory data	58
Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry	58
A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw	58
Observational-based study to explore pedestrian crossing behaviors at signalized and unsignalized crosswalks	56
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research	55
A statistical study of railway safety in China and Japan 1990–2020	55
The adaptability and challenges of autonomous vehicles to pedestrians in urban China	54
Automated vehicle crash sequences: Patterns and potential uses in safety testing	53
Operation analysis of freeway mixed traffic flow based on catch-up coordination platoon	53
Risk perception and the warning strategy based on safety potential field theory	53
A cooperative collision-avoidance control methodology for virtual coupling trains	53
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 arterial	51
A high-resolution trajectory data driven method for real-time evaluation of traffic safety	51
Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece	51
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 approach	50
Examining imbalanced classification algorithms in predicting real-time traffic crash risk	50
Comparing the risky behaviours of shared and private e-scooter and bicycle riders in downtown Brisbane, Australia	50
A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data	50
Not gendered… but different from each other? A structural equation model for explaining risky road behaviors of female and male pedestrians	50
Predicting driver takeover performance in conditionally automated driving	49
Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles	49
Comparison of threshold determination methods for the deceleration rate to avoid a crash (DRAC)-based crash estimation	49
Fifty Years of Accident Analysis & Prevention: A Bibliometric and Scientometric Overview	49
Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means	49
A real-time video surveillance system for traffic pre-events detection	48
Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology	48
Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approach	48
An integrated methodology for real-time driving risk status prediction using naturalistic driving data	48
Using long short term memory and convolutional neural networks for driver drowsiness detection	48
Factors influencing the injury severity of single-bicycle crashes	48
Older adults’ acceptance of fully automated vehicles: Effects of exposure, driving style, age, and driving conditions	47
A hierarchical bayesian peak over threshold approach for conflict-based before-after safety evaluation of leading pedestrian intervals	47
Combined impact of road and traffic characteristic on driver behavior using smartphone sensor data	46
Safety analysis of freeway on-ramp merging with the presence of autonomous vehicles	46
The mediating effect of driver characteristics on risky driving behaviors moderated by gender, and the classification model of driver’s driving risk	46
Electric scooters accidents: Analyses of two Swedish accident data sets	46
Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods	46
Modeling pedestrians’ near-accident events at signalized intersections using gated recurrent unit (GRU)	46
Impact of cyberattacks on safety and stability of connected and automated vehicle platoons under lane changes	45
Effect of highway directional signs on driver mental workload and behavior using eye movement and brain wave	45
Safety assessment of highly automated driving systems in test tracks: A new framework	45
Antecedents of safety behavior in construction: A literature review and an integrated conceptual framework	45
A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics	45
Risk-taking behaviors of e-scooter users: A survey in Paris	45
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data	44
Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining	44
Random parameters Bayesian hierarchical modeling of traffic conflict extremes for crash estimation	44
Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes	44
Effects of automatic emergency braking systems on pedestrian crash risk	43
Unobserved heterogeneity and the effects of driver nationality on crash injury severities in Saudi Arabia	43

Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach	43
Crash modification functions for pavement surface condition and geometric design indicators	43
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data	42
Effectiveness of augmented reality warnings on driving behaviour whilst approaching pedestrian crossings: A driving simulator study	42
A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns	41
Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and random parameters	41
Multi-type Bayesian hierarchical modeling of traffic conflict extremes for crash estimation	41
Fault diagnosis for train plug door using weighted fractional wavelet packet decomposition energy entropy	41
The application and extension of the theory of planned behavior to an analysis of delivery riders’ red-light running behavior in China	41
How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama?	41
Changes in shared and private e-scooter use in Brisbane, Australia and their safety implications	40
Detecting driver fatigue using heart rate variability: A systematic review	40
Safety of Raised Pavement Markers in Freeway Tunnels Based on Driving Behavior	40
Transport safety and human factors in the era of automation: What can transport modes learn from each other?	40
Using vehicular trajectory data to explore risky factors and unobserved heterogeneity during lane-changing	40
What drives people to use automated vehicles? A meta-analytic review	40
Takeover requests for automated driving: The effects of signal direction, lead time, and modality on takeover performance	40
Risky business: Comparing the riding behaviours of food delivery and private bicycle riders	40
Speeding through the pandemic: Perceptual and psychological factors associated with speeding during the COVID-19 stay-at-home period	39
Predicting effects of built environment on fatal pedestrian accidents at location-specific level: Application of XGBoost and SHAP	39
Evaluating driver eye glance behavior and secondary task engagement while using driving automation systems	39
Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology	39
Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factors	39
A copula-based approach for jointly modeling crash severity and number of vehicles involved in express bus crashes on expressways considering temporal stability of data	39
A taxonomy of driving errors and violations: Evidence from the naturalistic driving study	39
A Motorcyclist-Injury Severity Analysis: A Comparison of Single-, Two-, and Multi-Vehicle Crashes Using Latent Class Ordered Probit Model	39
How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling	39
Effectiveness of resampling methods in coping with imbalanced crash data: Crash type analysis and predictive modeling	38
Investigating conflict behaviours and characteristics in shared space for pedestrians, conventional bicycles and e-bikes	38
Psychophysiological responses to takeover requests in conditionally automated driving	37
Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control	37
Self-learning adaptive traffic signal control for real-time safety optimization	37
Assessment pedestrian crossing safety using vehicle-pedestrian interaction data through two different approaches: Fixed videography (FV) vs In-Motion Videography (IMV)	37
Turn signal use among motorcyclists and car drivers: The role of environmental characteristics, perceived risk, beliefs and lifestyle behaviours	36
Fuzzy Surrogate Safety Metrics for real-time assessment of rear-end collision risk. A study based on empirical observations	36
Fatal pedestrian crashes at intersections: Trend mining using association rules	36
Does initial experience affect consumers’ intention to use autonomous vehicles? Evidence from a field experiment in Beijing	36
Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network	35
Driving safety assessment for ride-hailing drivers	35
Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis	35
Factors that influence parents’ intentions of using autonomous vehicles to transport children to and from school	35
Multi-vehicle interaction safety of connected automated vehicles in merging area: A real-time risk assessment approach	35
A Bayesian spatial Poisson-lognormal model to examine pedestrian crash severity at signalized intersections	35
Trajectory data based freeway high-risk events prediction and its influencing factors analyses	34
A correlated random parameters approach to investigate large truck rollover crashes on mountainous interstates	34
Driving simulators to evaluate road geometric design effects on driver behaviour: A systematic review	34
Systematic literature review of 10 years of cyclist safety research	34
Studying bicyclists’ perceived level of safety using a bicycle simulator combined with immersive virtual reality	34
A spatiotemporal analysis of motorcyclist injury severity: Findings from 20 years of crash data from Pennsylvania	34
Exploration of the relationship among roadway characteristics, operating speed, and crashes for city streets using path analysis	33
Identifying heterogeneous factors for driver injury severity variations in snow-related rural single-vehicle crashes	33
Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data	33
Factors associated with driver injury severity of lane changing crashes involving younger and older drivers	33
Modelling injury severity of bicyclists in bicycle-car crashes at intersections	32
Driver distraction and its effects on partially automated driving performance: A driving simulator study among young-experienced drivers	32
The effectiveness of different types of motorcycle helmets – A scoping review	32
A novel approach in probabilistic quantification of risks within the context of maritime supply chain: The case of extreme weather events in the Arctic	32
Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data	32
Influence of familiarity with traffic regulations on delivery riders’ e-bike crashes and helmet use: Two mediator ordered logit models	32
Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes	31
Evaluation of tunnel retro-reflective arch in an extra-long tunnel based on the matter-element extension method	31
The effects of takeover request lead time on drivers’ situation awareness for manually exiting from freeways: A web-based study on level 3 automated vehicles	31
Combined latent class and partial proportional odds model approach to exploring the heterogeneities in truck-involved severities at cross and T-intersections	31
Prediction of rear-end conflict frequency using multiple-location traffic parameters	31
Estimation of safety performance functions for urban intersections using various functional forms of the negative binomial regression model and a generalized Poisson regression model	31
Towards activity-based exposure measures in spatial analysis of pedestrian–motor vehicle crashes	31
Safety improvements by intelligent connected vehicle technologies: A meta-analysis considering market penetration rates	31
Does a faster takeover necessarily mean it is better? A study on the influence of urgency and takeover-request lead time on takeover performance and safety	31
Assessing the explanatory and predictive performance of a random parameters count model with heterogeneity in means and variances	31
Exploring drivers’ mental workload and visual demand while using an in-vehicle HMI for eco-safe driving	31
A thousand years of crash experience in three hours: An online hazard perception training course for drivers	30
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach	30
Analysis of pedestrian-vehicle crash injury severity factors in Colorado 2006–2016	30
Short-term effects of ambient temperature and road traffic accident injuries in Dalian, Northern China: A distributed lag non-linear analysis	30
Bus crash risk evaluation: An adjusted framework and its application in a real network	30
Rear-end collision warning of connected automated vehicles based on a novel stochastic local multivehicle optimal velocity model	30
Computational prediction of head-ground impact kinematics in e-scooter falls	30
Knowledge of and trust in advanced driver assistance systems	30
A conceptual system dynamics model for cybersecurity assessment of connected and autonomous vehicles	30
Characterizing car-following behaviors of human drivers when following automated vehicles using the real-world dataset	30

Transfer learning for spatio-temporal transferability of real-time crash prediction models	30
On random-parameter count models for out-of-sample crash prediction: Accounting for the variances of random-parameter distributions	30
Exploring factors affecting the injury severity of freeway tunnel crashes: A random parameters approach with heterogeneity in means and variances	30
Single-vehicle crash severity outcome prediction and determinant extraction using tree-based and other non-parametric models	30
Profiling drivers to assess safe and eco-driving behavior – A systematic review of naturalistic driving studies	30
Spatio-temporal patterns in pedestrian crashes and their determining factors: Application of a space-time cube analysis model	30
Exploring transition durations of rear-end collisions based on vehicle trajectory data: A survival modeling approach	30
Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust	29
Impact speed and the risk of serious injury in vehicle crashes	29
An examination of teen drivers’ car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system	29
Investigating the interaction between pedestrian behaviors and crashes through validation of a pedestrian behavior questionnaire (PBQ)	29
Impact of the connected vehicle environment on tunnel entrance zone	29
Safety effectiveness and performance of lane support systems for driving assistance and automation – Experimental test and logistic regression for rare events	29
⋆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 arterials	29
Correlated mixed logit modeling with heterogeneity in means for crash severity and surrogate measure with temporal instability	29
Application of explainable machine learning for real-time safety analysis toward a connected vehicle environment	29
The effects of alcohol intoxication on cognitive functions critical for driving: A systematic review	29
Practical advantage of crossed random intercepts under Bayesian hierarchical modeling to tackle unobserved heterogeneity in clustering critical versus non-critical crashes	29
Sleep in highly automated driving: Takeover performance after waking up	29
Prediction of vehicle occupants injury at signalized intersections using real-time traffic and signal data	28
Understanding the potential of emerging digital technologies for improving road safety	28
Factors affecting behavior of mobile phone use while driving and effect of mobile phone use on driving performance	28
Low-cost road marking measures for increasing safety in horizontal curves: A driving simulator study	28
Using empirical traffic trajectory data for crash risk evaluation under three-phase traffic theory framework	28
Assessment of tire failure related crashes and injury severity on a mountainous freeway: Bayesian binary logit approach	28
A systematic review of factors associated with illegal drug driving	28
A new method of temporal and spatial risk estimation for lane change considering conventional recognition defects	28
Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest	28
Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review	27
A model for naturalistic glance behavior around Tesla Autopilot disengagements	27
How effective are Fatigue Risk Management Systems (FRMS)? A review	27
Theory of planned behaviour, psychological stressors and intention to avoid violating traffic rules: A Multi-Level modelling analysis	27
Young and under the influence: A systematic literature review of the impact of cannabis on the driving performance of youth	27
Study of typical electric two‐wheelers pre-crash scenarios using K-medoids clustering methodology based on video recordings in China	27
Understanding the deterrent impact formal and informal sanctions have on illegal smartphone use while driving	27
The dynamic tradeoff between safety and efficiency in discretionary lane-changing behavior: A random parameters logit approach with heterogeneity in means and variances	27
Effectiveness of implementing the criminal administrative punishment law of drunk driving in China: An interrupted time series analysis, 2004-2017	27
A random parameter logistic model of fatigue-related motorcycle crash involvement in Hanoi, Vietnam	27
Advanced vehicle technologies and road safety: A scoping review of the evidence	27
Propensity score methods for road safety evaluation: Practical suggestions from a simulation study	26
Drivers’ visual-distracted take-over performance model and its application on adaptive adjustment of time budget	26
Bicycle safety in Bogotá: A seven-year analysis of bicyclists’ collisions and fatalities	26
The trade-off between safety and time in the red light running behaviors of pedestrians: A random regret minimization approach	26
Factors affecting injury severity at pedestrian crossing locations with Rectangular RAPID Flashing Beacons (RRFB) using XGBoost and random parameters discrete outcome models	26
Does elderly safety matter? Associations between built environments and pedestrian crashes in Seoul, Korea	26
Alcohol-impaired Walking in 16 Countries: A Theory-Based Investigation	26
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 control	26
The predictive capacity of the MADYMO ellipsoid pedestrian model for pedestrian ground contact kinematics and injury evaluation	26
The prevalence of alcohol and other drugs in fatal road crashes in Victoria, Australia	26
Speed characteristics of speed pedelecs, pedelecs and conventional bicycles in naturalistic urban and rural traffic conditions	26
Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models	25
Understanding the effects of vehicle platoons on crash type and severity	25
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 variances	25
Investigating factors affecting bus/minibus accident severity in a developing country for different subgroup datasets characterised by time, pavement, and light conditions	25
Exploring the effect of road network, demographic, and land use characteristics on teen crash frequency using geographically weighted negative binomial regression	25
Examining risky riding behavior in India using Motorcycle rider behavior questionnaire	25
Head protection in electric micromobility: A critical review, recommendations, and future trends	25
Injury-severity analysis of intercity bus crashes in Ghana: A random parameters multinomial logit with heterogeneity in means and variances approach	25
Traffic volume and crashes and how crash and road characteristics affect their relationship – A meta-analysis	25
Driving-Related Behaviours, Attitudes and Perceptions among Australian Medical Cannabis Users: Results from the CAMS 18-19 Survey	25
Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model	25
Effects of partially automated driving on the development of driver sleepiness	25
Simulated driving performance among daily and occasional cannabis users	25
Impact of COVID-19 on motor vehicle injuries and fatalities in older adults in Ontario, Canada	25
On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development	25
Analysis of factors influencing delivery e-bikes’ red-light running behavior: A correlated mixed binary logit approach	24
Aggressive driving behavior prediction considering driver’s intention based on multivariate-temporal feature data	24
Older adult pedestrian trauma: A systematic review, meta-analysis, and GRADE assessment of injury health outcomes from an aggregate study sample of 1 million pedestrians	24
Variance-based global sensitivity analysis for rear-end crash investigation using deep learning	24
Propensities of red light running of pedestrians at the two-stage crossings with split pedestrian signal phases	24
A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles	24
Investigating yielding behavior of heterogeneous vehicles at a semi-controlled crosswalk	24
Applying latent class analysis to investigate rural highway single-vehicle fatal crashes in China	24
A systematic review and meta-analysis of older driver interventions	24
Estimating heterogeneous treatment effects in road safety analysis using generalized random forests	24
Analysis of pedestrian accident injury-severities at road junctions and crossings using an advanced random parameter modelling framework: The case of Scotland	24
Understanding how relationships between crash frequency and correlates vary for multilane rural highways: Estimating geographically and temporally weighted regression models	24
Examining the effect of road horizontal alignment on the speed of semi-automated vehicles	24
How much sleep do you need? A comprehensive review of fatigue related impairment and the capacity to work or drive safely	24
What happens when drivers of automated vehicles take over control in critical brake situations?	24
Influence of built environment on the severity of vehicle crashes caused by distracted driving: A multi-state comparison	24
A unifying view on traffic conflicts and their connection with crashes	24
Operational factor analysis of the aggressive taxi speeders using random parameters Bayesian LASSO modeling approach	24
Automatic incident detection on freeways based on Bluetooth traffic monitoring	24
What can we learn from autonomous vehicle collision data on crash severity? A cost-sensitive CART approach	24
A data-driven feature learning approach based on Copula-Bayesian Network and its application in comparative investigation on risky lane-changing and car-following maneuvers	24
Real-time signal-vehicle coupled control: An application of connected vehicle data to improve intersection safety	23
Using cross efficiency method integrating regret theory and WASPAS to evaluate road safety performance of Chinese provinces	23
Research on drivers' hazard perception in plateau environment based on visual characteristics	23
Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review	23
A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks	23
Evaluating the impact of Heavy Goods Vehicle driver monitoring and coaching to reduce risky behaviour	23
Study of work zone traffic safety under adverse driving conditions with a microscopic traffic simulation approach	23
Spatial heterogeneity analysis of macro-level crashes using geographically weighted Poisson quantile regression	23
Investigating the predictability of crashes on different freeway segments using the real-time crash risk models	23