Journal of Transportation Safety & Security

Papers
(The median citation count of Journal of Transportation Safety & Security is 2. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Cluster analysis and multi-level modeling for evaluating the impact of rain on aggressive lane-changing characteristics utilizing naturalistic driving data39
Pattern recognition from injury severity types of frontage roadway crashes19
Truck drivers’ self-reported engagement in overloading: An application of the extended theory of planned behavior15
Contributing factors on the level of delay caused by crashes: a hybrid method of latent class analysis and XGBoost based SHAP algorithm14
Optimal dispatch of emergency materials for major maritime accidents based on sea–road multimodal transport13
Prudent behavior of young pedestrians: What are the determinants?13
How to select distracted driving countermeasures evaluation metrics: A systematic review12
A methodology for prioritizing safety indicators using individual vehicle trajectory data12
Impact of road network patterns on traffic crash prediction: An interpretable geography machine learning approach11
Crash hotspot identification using large-scale trajectory data: Insights from surrogate safety measures11
Takeover behavior patterns for autonomous driving in crash scenarios11
Should voice navigation prompts be earlier and more complicated? A study of drivers’ visual attention, physiology and operating performance11
Real-time driving risk assessment based on the psycho-physical field10
Understanding the role of driver behaviors and performance in safety-critical events: Application of machine learning10
Multiscale spatial analysis of macro-level determinants of bicycle crash frequencies in the Phoenix metro region10
Investigating the impacts of driver’s risky driving behavior on traffic crash risk detection model10
A new approach in developing an urban rail transit emergency knowledge graph based on operation fault logs9
Could music reduce driver fatigue? An investigation on music effects in various weather conditions9
An approach for evaluating traffic safety of expressway weaving segments: Investigating risk patterns of lane-changing conflicts8
Characterizing the heterogeneities of driver attributes and lane-changing characteristics in lane-changing risks based on reconstructed vehicle trajectories on arterial roads8
Identifying nonlinear effects of factors on hit-and-run crashes using interpretable machine learning techniques8
Investigating the safety impacts of discontinuities in cycle network: A case study of London8
An integrated decision support system for ship collision avoidance8
An empirical analysis of how asleep/fatigued driving-injury severities have changed over time8
Effects of shipping cycles on traffic delays and accident costs at port collector-distributor roads7
Normalizing crash risk of partially automated vehicles under sparse data7
Exploring the safety impacts of conditionally automated driving vehicles switching control to manual driving mode within mixed traffic7
A deep learning and full consistency approach to roadway safety scoring7
A dynamic driving-style analysis method based on drivers’ interaction with surrounding vehicles7
Unraveling the complex relationship between weather conditions and traffic safety7
Converting structured data to point cloud data: A traffic accident severity prediction model based on sparse 3D convolution7
How do environmental and road factors impact automated vehicle crashes? An evidence from ADAS and ADS7
Temporal instability assessment of motorcyclist-injury severities using categorical principal component analysis and random parameter approach with heterogeneity in means7
A causal inference analysis of injury severity in motorcyclist crashes in Brazilian highway databases6
Structural equation modelling of driver behaviour and eye-movement pattern: A comprehensive analysis of rear-end collision avoidance6
Educational disparities shifts in motorcyclist injury severity: Accounting for unobserved heterogeneity6
Integrating deep learning and clustering techniques to address imbalanced data in traffic accident severity prediction6
Optimizing the guiding sign system to improve drivers’ lane-changing behavior at freeway exit ramp6
A vision-based fusion approach to predict pedestrian crossing behavior for traffic conflict prevention6
Vehicle trajectory prediction and collision warning for lane change conditions6
The evolving vehicle fleet and pedestrian harm: Heterogeneity based data-driven analysis6
Understanding distracted driving patterns of ride-hailing drivers from multi-source data: Applying association rule mining6
Real-time sideswipe conflict risk prediction on the expressway5
Large-scale traffic safety management using Temporal Fusion Transformers: Prediction, interpretation, and intervention analysis5
Modeling drivers’ brake response times to pedestrian collision when using HUD in the connected environment5
Gate violation prediction at highway-rail grade crossings using tree-based ensemble techniques5
Exploring the spatiotemporal heterogeneity of freeway secondary crashes using GTWR model5
Investigating the factors affecting the severity of autonomous vehicle-related conflicts5
Corridor-level network screening and modeling of fatal and serious injury crashes on urban and suburban arterial corridors in Florida5
A vehicle lane change risk assessment method based on an improved potential field model: Application to connected autonomous trucks5
Impact of access point density on driving safety in underground loops: Examining drivers’ operational performance and visual characteristics5
Determinants of driver injury severity in electric vehicle crashes: A random parameters binary probit model with heterogeneity in means and variances5
Clustering patterns of roadway departure related motorcycle crashes using dimension reduction analysis5
A genetic programming approach for real-time crash prediction to solve trade-off between interpretability and accuracy5
Detecting dangerous driving via computer vision: Linking video-based indicators to road crashes5
Utilizing angle-based outlier detection method with sliding window mechanism to identify real-time crash risk5
Analyzing truck heterogeneity and synergistic interaction effects among risk factors in crash severity using an interpretable LightGBM framework5
Measuring and understanding the association between license-related infractions and road crash severity5
Impact of operating speed measures on traffic crashes: Annual and daily level models for rural two-lane and rural multilane roadways5
Optimal maintenance strategy for enhancing safety and service level of port collector-distributor roads considering shipping cycle effects5
An improved risk estimation model of lane change using naturalistic vehicle trajectories5
Enhancing injury severity prediction in small sample scenarios: A novel TabNet-DAAN approach for transfer learning5
Combining emerging hotspots analysis with XGBoost for modeling pedestrian injuries in pedestrian-vehicle crashes: a case study of North Carolina5
On-road driving risk assessment of regular passenger buses based on multi-source data integration5
Exploring the influence of seafarers’ individual characteristics on the perceived risk in Maritime emergencies: A simulator study4
Analysis of factors affecting occupant injury severity in rear-end crashes by different struck vehicle groups: A random thresholds random parameters hierarchical ordered probit model4
Severity analysis of red-light–running behavior at signalized intersections4
Movement-based intersection crash frequency modeling4
Investigating risky driving events in urban corridors: A study with large-scale trajectory datasets4
Quantifying truck crash risk under the combined effects of multi-type aberrant driving behaviors: Two probabilistic approaches4
Hard braking collected from probe vehicles as a predictor of crash occurrence at urban intersections in Connecticut4
A multibranch risk assessment model for multi-lane highway work zones based on risk fields and graph attention network4
Exploring the impact of seasonal weather factors on frequency of lane-departure crashes in Maine4
COVID-19, tourism and road traffic accidents: Evidence from Greece4
Convolutional neural network-based sensitivity analysis of parent and child features of different vehicle types in single-vehicle crashes3
Modeling spatial spillover effect on intersection crash propensity: a case study at the county level in Ohio3
An exploratory analysis of two-vehicle crashes for distracted driving with a mixed approach: Machine learning algorithm with unobserved heterogeneity3
Factors affecting fatal PTW at-fault crash outcome metrics at intersections and non-intersections in South Korea3
Tempo-categorization of road accident hotspots to enhance the problem diagnosis process and detect hidden hazardous locations3
Unbelted and unlicensed: An investigation of crash clusters and associated injury severities3
Before-after safety evaluation of TWB at signalized intersection based on traffic conflict technique3
Near misses and split routes: Comparing rider behavior, driver interaction, and route choice for cyclists3
Safety assessment and influencing factors analysis of unsignalized intersections on national highways based on traffic conflicts3
How does older and younger drivers’ risk cognition affect the safety performance: A driving simulator study of sudden lane-changing of the leading vehicle3
Injury severity of single-vehicle weather-related crashes on two-lane highways3
A novel deep learning framework for detecting seafarer’s unsafe behavior3
A method for evaluating the design consistency of heavy truck ramp based on high-frequency GPS data3
Temporal assessment of injury severities of two types of pedestrian-vehicle crashes using unobserved-heterogeneity models3
Enhancing urban metro system resilience under disruptive events through multi-agent reinforcement learning3
Identifying spatio-temporal pattern of electric vehicles involved traffic accidents3
Personality traits of drivers who exhibit risky driving behavior: Analysis using a real vehicle test in SCL-902
Analysis of driving left-turn errors of young and older drivers at urban intersections2
Analyzing the time-varying patterns of contributing factors in work zone-related crashes2
An integration methodology of safety and security requirements for autonomous vehicles2
Survivability of distracted driving: An analysis of in-vehicle phone handling resulting in safety critical events2
An integrated methodology for assessing short-term and long-term driving risks of heavy-duty trucks considering vehicle load2
Analysis of lane-changing conflict between cars and trucks at freeway merging sections using UAV video data2
Exploring contributing factors to improper driving actions in single-vehicle work zone crashes: A mixed logit analysis considering heterogeneity in means and variances, and temporal instability2
Structural equation modeling approach for investigating drivers’ risky behavior in clear and adverse weather using SHRP2 naturalistic driving data2
Understanding pedestrian and bicyclist safety trends in the post-pandemic era2
Safety analysis of damping characteristics on heterogeneous connected and automated vehicle platoon2
Data-driven gale-induced risk assessment strategy for the high-speed railway system2
Understanding pedestrian and bicycle safety risks and their correlates across geographies in Florida2
Incorporating spatio-temporal correlation and interaction into a generalized ordered logit model for examining injury severities of traffic accidents2
Crash severity prediction and interpretation for road determinants based on a hybrid method2
A study of aberrant driving behaviors and road accidents in Chinese ride-hailing drivers2
Enhancing bicyclist survival time in fatal crashes: Investigating the impact of faster crash notification time through explainable machine learning2
Exploring how urban form and demographics are linked with pedestrian and bicycle safety2
Investigating the application of deep learning to identify pedestrian collision-prone zones2
Open source head and face estimation as a complement to commercial eye-tracking2
Modeling non-parametric effects of two-vehicle speed on crash risk at intersections: Leveraging two-dimensional additive logistic regression beyond univariable approach2
Exploring factors contributing to red-light running crash injury severity at signalized intersections using association rule mining2
Evaluating traffic conflicts and crash risk in nighttime maintenance operation areas of highways using vehicles’ trajectory data2
Assessing risk level of lane changing behaviors using time series analysis2
Verification analysis of relationship between driving failure probability and traffic accident rate2
Investigating the impact of influential factors on crash types for autonomous vehicles at intersections2
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