Accident Analysis and Prevention

Article	Citations
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling	201
The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis	149
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP	148
A systematic mapping review of surrogate safety assessment using traffic conflict techniques	146
Analyzing driver behavior under naturalistic driving conditions: A review	139
Crash data augmentation using variational autoencoder	116
Traffic accident detection and condition analysis based on social networking data	110
E-Scooter safety: The riding risk analysis based on mobile sensing data	99
A deep learning based traffic crash severity prediction framework	96
Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions	86
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors	76
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	75
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain	70
Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving	68
A comparative study of state-of-the-art driving strategies for autonomous vehicles	65
The impact of COVID-19 on road safety in Canada and the United States	61
Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry	60
A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw	59
Observational-based study to explore pedestrian crossing behaviors at signalized and unsignalized crosswalks	57
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research	57
A statistical study of railway safety in China and Japan 1990–2020	56
Risk perception and the warning strategy based on safety potential field theory	54
Operation analysis of freeway mixed traffic flow based on catch-up coordination platoon	53
Automated vehicle crash sequences: Patterns and potential uses in safety testing	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	53
Comparing the risky behaviours of shared and private e-scooter and bicycle riders in downtown Brisbane, Australia	53
A high-resolution trajectory data driven method for real-time evaluation of traffic safety	52
Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece	52
An integrated methodology for real-time driving risk status prediction using naturalistic driving data	51
Predicting driver takeover performance in conditionally automated driving	51
Not gendered… but different from each other? A structural equation model for explaining risky road behaviors of female and male pedestrians	51
Using long short term memory and convolutional neural networks for driver drowsiness detection	50
A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data	50
Comparison of threshold determination methods for the deceleration rate to avoid a crash (DRAC)-based crash estimation	50
A real-time video surveillance system for traffic pre-events detection	50
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	50
Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approach	49
Electric scooters accidents: Analyses of two Swedish accident data sets	49
Risk-taking behaviors of e-scooter users: A survey in Paris	48
Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles	48
Safety analysis of freeway on-ramp merging with the presence of autonomous vehicles	48
Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology	48
Factors influencing the injury severity of single-bicycle crashes	48
Impact of cyberattacks on safety and stability of connected and automated vehicle platoons under lane changes	47
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
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
The mediating effect of driver characteristics on risky driving behaviors moderated by gender, and the classification model of driver’s driving risk	46
Antecedents of safety behavior in construction: A literature review and an integrated conceptual framework	46
Random parameters Bayesian hierarchical modeling of traffic conflict extremes for crash estimation	45
A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics	45
Crash modification functions for pavement surface condition and geometric design indicators	45
Changes in shared and private e-scooter use in Brisbane, Australia and their safety implications	43
Takeover requests for automated driving: The effects of signal direction, lead time, and modality on takeover performance	43
Effects of automatic emergency braking systems on pedestrian crash risk	43
A taxonomy of driving errors and violations: Evidence from the naturalistic driving study	43
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data	43
Risky business: Comparing the riding behaviours of food delivery and private bicycle riders	43
What drives people to use automated vehicles? A meta-analytic review	42
How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama?	42
A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns	42
Effectiveness of augmented reality warnings on driving behaviour whilst approaching pedestrian crossings: A driving simulator study	42
Multi-type Bayesian hierarchical modeling of traffic conflict extremes for crash estimation	42
A Motorcyclist-Injury Severity Analysis: A Comparison of Single-, Two-, and Multi-Vehicle Crashes Using Latent Class Ordered Probit Model	41
Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factors	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
Predicting effects of built environment on fatal pedestrian accidents at location-specific level: Application of XGBoost and SHAP	41
Fault diagnosis for train plug door using weighted fractional wavelet packet decomposition energy entropy	41
Detecting driver fatigue using heart rate variability: A systematic review	40
Using vehicular trajectory data to explore risky factors and unobserved heterogeneity during lane-changing	40
Speeding through the pandemic: Perceptual and psychological factors associated with speeding during the COVID-19 stay-at-home period	40
Evaluating driver eye glance behavior and secondary task engagement while using driving automation systems	40

Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology	40
How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling	39
Psychophysiological responses to takeover requests in conditionally automated driving	39
Investigating conflict behaviours and characteristics in shared space for pedestrians, conventional bicycles and e-bikes	39
Effectiveness of resampling methods in coping with imbalanced crash data: Crash type analysis and predictive modeling	38
Fuzzy Surrogate Safety Metrics for real-time assessment of rear-end collision risk. A study based on empirical observations	37
Does initial experience affect consumers’ intention to use autonomous vehicles? Evidence from a field experiment in Beijing	36
A correlated random parameters approach to investigate large truck rollover crashes on mountainous interstates	36
Fatal pedestrian crashes at intersections: Trend mining using association rules	36
Factors that influence parents’ intentions of using autonomous vehicles to transport children to and from school	36
Multi-vehicle interaction safety of connected automated vehicles in merging area: A real-time risk assessment approach	35
Driving safety assessment for ride-hailing drivers	35
Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network	35
Studying bicyclists’ perceived level of safety using a bicycle simulator combined with immersive virtual reality	35
A spatiotemporal analysis of motorcyclist injury severity: Findings from 20 years of crash data from Pennsylvania	34
The effectiveness of different types of motorcycle helmets – A scoping review	34
Computational prediction of head-ground impact kinematics in e-scooter falls	34
Systematic literature review of 10 years of cyclist safety research	34
Trajectory data based freeway high-risk events prediction and its influencing factors analyses	34
Short-term effects of ambient temperature and road traffic accident injuries in Dalian, Northern China: A distributed lag non-linear analysis	34
Driving simulators to evaluate road geometric design effects on driver behaviour: A systematic review	34
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
Exploration of the relationship among roadway characteristics, operating speed, and crashes for city streets using path analysis	33
Characterizing car-following behaviors of human drivers when following automated vehicles using the real-world dataset	33
Influence of familiarity with traffic regulations on delivery riders’ e-bike crashes and helmet use: Two mediator ordered logit models	33
Driver distraction and its effects on partially automated driving performance: A driving simulator study among young-experienced drivers	33
Prediction of rear-end conflict frequency using multiple-location traffic parameters	32
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	32
A thousand years of crash experience in three hours: An online hazard perception training course for drivers	32
Analysis of pedestrian-vehicle crash injury severity factors in Colorado 2006–2016	32
Towards activity-based exposure measures in spatial analysis of pedestrian–motor vehicle crashes	32
Exploring factors affecting the injury severity of freeway tunnel crashes: A random parameters approach with heterogeneity in means and variances	32
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	32
Assessing the explanatory and predictive performance of a random parameters count model with heterogeneity in means and variances	32
Exploring transition durations of rear-end collisions based on vehicle trajectory data: A survival modeling approach	31
Safety improvements by intelligent connected vehicle technologies: A meta-analysis considering market penetration rates	31
Profiling drivers to assess safe and eco-driving behavior – A systematic review of naturalistic driving studies	31
Evaluation of tunnel retro-reflective arch in an extra-long tunnel based on the matter-element extension method	31
Bus crash risk evaluation: An adjusted framework and its application in a real network	31
Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust	31
Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes	31
A conceptual system dynamics model for cybersecurity assessment of connected and autonomous vehicles	31
Investigating the interaction between pedestrian behaviors and crashes through validation of a pedestrian behavior questionnaire (PBQ)	31
Knowledge of and trust in advanced driver assistance systems	31
Safety effectiveness and performance of lane support systems for driving assistance and automation – Experimental test and logistic regression for rare events	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
Transfer learning for spatio-temporal transferability of real-time crash prediction models	31
On random-parameter count models for out-of-sample crash prediction: Accounting for the variances of random-parameter distributions	30
Impact of the connected vehicle environment on tunnel entrance zone	30
An examination of teen drivers’ car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system	30
Application of explainable machine learning for real-time safety analysis toward a connected vehicle environment	30
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach	30
Spatio-temporal patterns in pedestrian crashes and their determining factors: Application of a space-time cube analysis model	30
Rear-end collision warning of connected automated vehicles based on a novel stochastic local multivehicle optimal velocity model	30
Single-vehicle crash severity outcome prediction and determinant extraction using tree-based and other non-parametric models	30
The effects of alcohol intoxication on cognitive functions critical for driving: A systematic review	29
Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest	29
Head protection in electric micromobility: A critical review, recommendations, and future trends	29
A systematic review of factors associated with illegal drug driving	29
Using empirical traffic trajectory data for crash risk evaluation under three-phase traffic theory framework	29
Practical advantage of crossed random intercepts under Bayesian hierarchical modeling to tackle unobserved heterogeneity in clustering critical versus non-critical crashes	29
Correlated mixed logit modeling with heterogeneity in means for crash severity and surrogate measure with temporal instability	29
Young and under the influence: A systematic literature review of the impact of cannabis on the driving performance of youth	28
Examining risky riding behavior in India using Motorcycle rider behavior questionnaire	28
Understanding the potential of emerging digital technologies for improving road safety	28
The predictive capacity of the MADYMO ellipsoid pedestrian model for pedestrian ground contact kinematics and injury evaluation	28
Factors affecting behavior of mobile phone use while driving and effect of mobile phone use on driving performance	28
The dynamic tradeoff between safety and efficiency in discretionary lane-changing behavior: A random parameters logit approach with heterogeneity in means and variances	28
A model for naturalistic glance behavior around Tesla Autopilot disengagements	28
How effective are Fatigue Risk Management Systems (FRMS)? A review	28
Prediction of vehicle occupants injury at signalized intersections using real-time traffic and signal data	28
Low-cost road marking measures for increasing safety in horizontal curves: A driving simulator study	28
Speed characteristics of speed pedelecs, pedelecs and conventional bicycles in naturalistic urban and rural traffic conditions	28
A new method of temporal and spatial risk estimation for lane change considering conventional recognition defects	28
Drivers’ visual-distracted take-over performance model and its application on adaptive adjustment of time budget	28
Advanced vehicle technologies and road safety: A scoping review of the evidence	28
Study of typical electric two‐wheelers pre-crash scenarios using K-medoids clustering methodology based on video recordings in China	27
Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review	27
Influence of built environment on the severity of vehicle crashes caused by distracted driving: A multi-state comparison	27

Factors affecting injury severity at pedestrian crossing locations with Rectangular RAPID Flashing Beacons (RRFB) using XGBoost and random parameters discrete outcome models	27
Theory of planned behaviour, psychological stressors and intention to avoid violating traffic rules: A Multi-Level modelling analysis	27
The prevalence of alcohol and other drugs in fatal road crashes in Victoria, Australia	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
Impact of COVID-19 on motor vehicle injuries and fatalities in older adults in Ontario, Canada	26
Understanding the effects of vehicle platoons on crash type and severity	26
Propensity score methods for road safety evaluation: Practical suggestions from a simulation study	26
On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development	26
Alcohol-impaired Walking in 16 Countries: A Theory-Based Investigation	26
The trade-off between safety and time in the red light running behaviors of pedestrians: A random regret minimization approach	26
Simulated driving performance among daily and occasional cannabis users	26
Driving-Related Behaviours, Attitudes and Perceptions among Australian Medical Cannabis Users: Results from the CAMS 18-19 Survey	26
Investigating yielding behavior of heterogeneous vehicles at a semi-controlled crosswalk	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
Analysis of factors influencing delivery e-bikes’ red-light running behavior: A correlated mixed binary logit approach	25
Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review	25
Exploring the effect of road network, demographic, and land use characteristics on teen crash frequency using geographically weighted negative binomial regression	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
A unifying view on traffic conflicts and their connection with crashes	25
Estimating heterogeneous treatment effects in road safety analysis using generalized random forests	25
Variance-based global sensitivity analysis for rear-end crash investigation using deep learning	25
Effects of partially automated driving on the development of driver sleepiness	25
How much sleep do you need? A comprehensive review of fatigue related impairment and the capacity to work or drive safely	25
Examining driver distraction in the context of driving speed: An observational study using disruptive technology and naturalistic data	25
Injury-severity analysis of intercity bus crashes in Ghana: A random parameters multinomial logit with heterogeneity in means and variances approach	25
Investigating factors affecting bus/minibus accident severity in a developing country for different subgroup datasets characterised by time, pavement, and light conditions	25
Operational factor analysis of the aggressive taxi speeders using random parameters Bayesian LASSO modeling approach	24
Propensities of red light running of pedestrians at the two-stage crossings with split pedestrian signal phases	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
A multidimensional and multi-period analysis of safety on roads	24
A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks	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
Analysis of pedestrian accident injury-severities at road junctions and crossings using an advanced random parameter modelling framework: The case of Scotland	24
A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles	24
In-vehicle warnings for work zone and related rear-end collisions: A driving simulator experiment	24
Automated vehicle data pipeline for accident reconstruction: New insights from LiDAR, camera, and radar data	24
Applying latent class analysis to investigate rural highway single-vehicle fatal crashes in China	24
Investigating the predictability of crashes on different freeway segments using the real-time crash risk models	24
Understanding how relationships between crash frequency and correlates vary for multilane rural highways: Estimating geographically and temporally weighted regression models	24
What can we learn from autonomous vehicle collision data on crash severity? A cost-sensitive CART approach	24
Real-time driving risk assessment using deep learning with XGBoost	24
A systematic review and meta-analysis of older driver interventions	24
Aggressive driving behavior prediction considering driver’s intention based on multivariate-temporal feature data	24
Is distraction on the road associated with maladaptive mobile phone use? A systematic review	23
Guidance-oriented advanced curve speed warning system in a connected vehicle environment	23
Real-time signal-vehicle coupled control: An application of connected vehicle data to improve intersection safety	23
Research on drivers' hazard perception in plateau environment based on visual characteristics	23
Injury severity analysis of pedestrian and bicyclist trespassing crashes at non-crossings: A hybrid predictive text analytics and heterogeneity-based statistical modeling approach	23
An accelerated hierarchical Bayesian crash frequency model with accommodation of spatiotemporal interactions	23
A resampling approach to disaggregate analysis of bus-involved crashes using panel data with excessive zeros	23
Analysis of risky driving behaviors among bus drivers in China: The role of enterprise management, external environment and attitudes towards traffic safety	23
How safe do you feel? – A large-scale survey concerning the subjective safety associated with different kinds of cycling lanes	23
How do drivers respond to driving risk during car-following? Risk-response driver model and its application in human-like longitudinal control	23
Spatial heterogeneity analysis of macro-level crashes using geographically weighted Poisson quantile regression	23
Using cross efficiency method integrating regret theory and WASPAS to evaluate road safety performance of Chinese provinces	23
Spatiotemporal correlation study of traffic accidents with fatalities and injuries in Bogota (Colombia)	22
A novel driving assessment combining hazard perception, hazard prediction and theory questions	22
A hybrid machine learning model for predicting Real-Time secondary crash likelihood	22
Modelling brake transition time of young alcohol-impaired drivers using hazard-based duration models	22
The number of patients hospitalized with bicycle injuries is increasing - A cry for better road safety	22
Pedestrians safety perception and crossing behaviors in narrow urban streets: An experimental study using immersive virtual reality technology	22
A data-driven, kinematic feature-based, near real-time algorithm for injury severity prediction of vehicle occupants	22
The Impact of driver distraction and secondary tasks with and without other co-occurring driving behaviors on the level of road traffic crashes	22
Speed violation analysis of heavy vehicles on highways using spatial analysis and machine learning algorithms	22
Spatiotemporal analysis of crash severity on rural highway: A case study in Anhui, China	22
Implicit intention communication as a design opportunity for automated vehicles: Understanding drivers’ interpretation of vehicle trajectory at narrow passages	22
How drowsiness and distraction can interfere with take-over performance: A systematic and meta-analysis review	22
Predicting driver reaction time and deceleration: Comparison of perception-reaction thresholds and evidence accumulation framework	22
Factors modifying the likelihood of speeding behaviors based on naturalistic driving data	21
Understanding drivers’ awareness, habits and intentions inside road tunnels for effective safety policies	21
Macro-level literature analysis on pedestrian safety: Bibliometric overview, conceptual frames, and trends	21
Benchmarking road safety development across OECD countries: An empirical analysis for a decade	21
Association between extreme ambient temperatures and general indistinct and work-related road crashes. A nationwide study in Italy	21
Velocity control in car-following behavior with autonomous vehicles using reinforcement learning	21
Comparing the cycling behaviours of Australian, Chinese and Colombian cyclists using a behavioural questionnaire paradigm	21
The development and validation of the perceived safety of intelligent connected vehicles scale	21
The association between the Big Five personality traits and driving behaviors: A systematic review and meta-analysis	21
A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management	21
Are Latin American cycling commuters “at risk”? A comparative study on cycling patterns, behaviors, and crashes with non-commuter cyclists	21
Studying the effects of an advanced driver-assistance system to improve safety of cyclists overtaking	21
Operational design domain of autonomous vehicles at skewed intersection	21
Artificial intelligence-aided railroad trespassing detection and data analytics: Methodology and a case study	21
Validation of surrogate measures of safety with a focus on bicyclist–motor vehicle interactions	21
A performance analysis of prediction techniques for impacting vehicles in hit-and-run road accidents	21
A comparative analysis of freeway crash incident clearance time using random parameter and latent class hazard-based duration model	21
Young and older adult pedestrians’ behavior when crossing a street in front of conventional and self-driving cars	21
Spatial analysis of harsh driving behavior events in urban networks using high-resolution smartphone and geometric data	20
Collision-avoidance lane change control method for enhancing safety for connected vehicle platoon in mixed traffic environment	20
Incorporating conflict risks in pedestrian-motorist interactions: A game theoretical approach	20
Driver behavior and the use of automation in real-world driving	20
Impacts of visual and cognitive distractions and time pressure on pedestrian crossing behaviour: A simulator study	20
Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups	20
In-vehicle displays to support driver anticipation of traffic conflicts in automated vehicles	20
Analyzing the impact of curve and slope on multi-vehicle truck crash severity on mountainous freeways	20
Vulnerable road users’ crash hotspot identification on multi-lane arterial roads using estimated exposure and considering context classification	20