Journal of Transportation Safety & Security

Papers
(The TQCC of Journal of Transportation Safety & Security is 5. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Cluster analysis and multi-level modeling for evaluating the impact of rain on aggressive lane-changing characteristics utilizing naturalistic driving data33
A simulation analysis to explore when using a calibration function is preferred over a scalar factor for calibrating safety performance functions16
Truck drivers’ self-reported engagement in overloading: An application of the extended theory of planned behavior14
Contributing factors on the level of delay caused by crashes: a hybrid method of latent class analysis and XGBoost based SHAP algorithm13
Pattern recognition from injury severity types of frontage roadway crashes13
A new approach in developing an urban rail transit emergency knowledge graph based on operation fault logs12
How to select distracted driving countermeasures evaluation metrics: A systematic review12
Multiscale spatial analysis of macro-level determinants of bicycle crash frequencies in the Phoenix metro region12
Prudent behavior of young pedestrians: What are the determinants?12
Investigating the impacts of driver’s risky driving behavior on traffic crash risk detection model11
Understanding the role of driver behaviors and performance in safety-critical events: Application of machine learning11
Could music reduce driver fatigue? An investigation on music effects in various weather conditions11
Real-time driving risk assessment based on the psycho-physical field10
Takeover behavior patterns for autonomous driving in crash scenarios10
Impact of road network patterns on traffic crash prediction: An interpretable geography machine learning approach10
Should voice navigation prompts be earlier and more complicated? A study of drivers’ visual attention, physiology and operating performance9
A methodology for prioritizing safety indicators using individual vehicle trajectory data9
An integrated decision support system for ship collision avoidance8
Investigating the safety impacts of discontinuities in cycle network: A case study of London8
An empirical analysis of how asleep/fatigued driving-injury severities have changed over time8
A deep learning and full consistency approach to roadway safety scoring8
Identifying nonlinear effects of factors on hit-and-run crashes using interpretable machine learning techniques8
Characterizing the heterogeneities of driver attributes and lane-changing characteristics in lane-changing risks based on reconstructed vehicle trajectories on arterial roads8
An approach for evaluating traffic safety of expressway weaving segments: Investigating risk patterns of lane-changing conflicts8
Temporal instability assessment of motorcyclist-injury severities using categorical principal component analysis and random parameter approach with heterogeneity in means7
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
How do environmental and road factors impact automated vehicle crashes? An evidence from ADAS and ADS7
Converting structured data to point cloud data: A traffic accident severity prediction model based on sparse 3D convolution7
A comparative study of factors associated with motorcycle crash severities under different causal scenarios7
A dynamic driving-style analysis method based on drivers’ interaction with surrounding vehicles7
Vehicle trajectory prediction and collision warning for lane change conditions6
Structural equation modelling of driver behaviour and eye-movement pattern: A comprehensive analysis of rear-end collision avoidance6
Unraveling the complex relationship between weather conditions and traffic safety6
A causal inference analysis of injury severity in motorcyclist crashes in Brazilian highway databases6
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
An integrated solution to identify pedestrian-vehicle accident prone locations: GIS-based multicriteria decision approach5
Optimal maintenance strategy for enhancing safety and service level of port collector-distributor roads considering shipping cycle effects5
Impact of access point density on driving safety in underground loops: Examining drivers’ operational performance and visual characteristics5
A genetic programming approach for real-time crash prediction to solve trade-off between interpretability and accuracy5
Combining emerging hotspots analysis with XGBoost for modeling pedestrian injuries in pedestrian-vehicle crashes: a case study of North Carolina5
Understanding distracted driving patterns of ride-hailing drivers from multi-source data: Applying association rule mining5
A vision-based fusion approach to predict pedestrian crossing behavior for traffic conflict prevention5
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
Modeling drivers’ brake response times to pedestrian collision when using HUD in the connected environment5
Real-time sideswipe conflict risk prediction on the expressway5
Optimizing the guiding sign system to improve drivers’ lane-changing behavior at freeway exit ramp5
Gate violation prediction at highway-rail grade crossings using tree-based ensemble techniques5
Impact of operating speed measures on traffic crashes: Annual and daily level models for rural two-lane and rural multilane roadways5
An improved risk estimation model of lane change using naturalistic vehicle trajectories5
Exploring the spatiotemporal heterogeneity of freeway secondary crashes using GTWR model5
Considering demographics of other involved drivers in predicting the highest driver injury severity in multi-vehicle crashes on rural two-lane roads in California5
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