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 2020-05-01 to 2024-05-01.)
ArticleCitations
Safety evaluation of pedestrian-vehicle interaction at signalized intersections in Changsha, China16
Real-time crash prediction for a long low-traffic volume corridor using corrected-impurity importance and semi-parametric generalized additive model15
Modeling highly imbalanced crash severity data by ensemble methods and global sensitivity analysis15
Impact of HMI on driver’s distraction on a freeway under heavy foggy condition based on visual characteristics14
A comprehensive analysis of factors that influence interstate highway crash severity in Alabama14
Assessing the relationship between driving skill, driving behavior and driving aggressiveness12
An empirical investigation of the factors contributing to local-vehicle and non-local-vehicle crashes on freeway12
Investigation of factors contributing to pedestrian hit-and-run crashes in India11
Spatial zero-inflated negative binomial regression models: Application for estimating frequencies of rear-end crashes on Thai highways11
An empirical analysis of how asleep/fatigued driving-injury severities have changed over time11
Pattern recognition in speeding related motorcycle crashes10
Analyzing injury severity of rear-end crashes involving large trucks using a mixed logit model: A case study in North Carolina10
Injury severity analysis of drivers in single-vehicle rollover crashes: A random thresholds random parameters hierarchical ordered logit approach9
Spatial-temporal varying coefficient model for lane-changing behavior in work zone merging areas9
Mixed logit approach to modeling the severity of pedestrian-injury in pedestrian-vehicle crashes in North Carolina: Accounting for unobserved heterogeneity9
Mixed logit models for examining pedestrian injury severities at intersection and non-intersection locations9
Occupant injury severity in passenger car-truck collisions on interstate 80 in Wyoming: a Hamiltonian Monte Carlo Markov Chain Bayesian inference approach9
Analysing the injury severity characteristics of urban elderly drivers’ traffic accidents through the generalised ordered logit model: A case of Seoul, South Korea9
Support vector machines for the identification of real-time driving distraction using in-vehicle information systems8
A genetic programming approach for real-time crash prediction to solve trade-off between interpretability and accuracy8
Influence of the tunnel retro-reflective arch in freeway tunnels on driving behavior: A driving simulator study8
Traffic safety analysis of inter-tunnel weaving section with conflict prediction models8
Risk preference, risk perception as predictors of risky driving behaviors: the moderating effects of gender, age, and driving experience8
Combined variable speed limit and lane change guidance for secondary crash prevention using distributed deep reinforcement learning8
Exploring injury severity of bicycle-motor vehicle crashes: A two-stage approach integrating latent class analysis and random parameter logit model8
Considering demographics of other involved drivers in predicting the highest driver injury severity in multi-vehicle crashes on rural two-lane roads in California8
Analysis of factors affecting occupant injury severity in rear-end crashes by different struck vehicle groups: A random thresholds random parameters hierarchical ordered probit model7
Predicting pedestrian crash locations in urban India: An integrated GIS-based spatiotemporal HSID technique7
A comparative analysis of intersection hotspot identification: Fixed vs. varying dispersion parameters in negative binomial models7
Young drivers and cellphone distraction: Pattern recognition from fatal crashes7
Does random slope hierarchical modeling always outperform random intercept counterpart? Accounting for unobserved heterogeneity in a real-time empirical analysis of critical crash occurrence7
Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models7
Identification and spatiotemporal evolution analysis of high-risk crash spots in urban roads at the microzone-level: Using the space-time cube method7
A random parameter bivariate probit model for injury severities of riders and pillion passengers in motorcycle crashes7
Modeling dynamic distribution of dilemma zone at signalized intersections for developing world traffic6
Investigation of factors contributing to bus-crash severity based on extended hierarchical ordered probit model with heteroscedasticity6
Development of a real-time security management system for restricted access areas using computer vision and deep learning6
Safety first: The risk of over-reliance on technology in navigation6
Assessing injury severity of secondary incidents using support vector machines6
Severity modeling of work zone crashes in New Jersey using machine learning models6
Identification of contributing factors for interchange crashes based on a quasi-induced exposure method6
Cluster analysis and multi-level modeling for evaluating the impact of rain on aggressive lane-changing characteristics utilizing naturalistic driving data6
Determinants of traffic violations in China: A case-study with a partial proportional odds model5
A civil aircraft passenger deplaning model considering patients with severe acute airborne disease5
Surrogate safety assessment of super DDI design: A case study in Denver, Colorado5
Analysis of factors affecting the frequency of crashes on interstate freeways by vehicle type considering multiple weather variables5
Analysis of human errors in maritime accidents: A Bayesian spatial multinomial logistic model5
Railroad accident causal analysis with unstructured narratives using bidirectional encoder representations for transformers5
A novel deep learning approach to predict crash severity in adverse weather on rural mountainous freeway5
Traffic safety analysis at interchange exits using the surrogate measure of aggressive driving behavior and speed variation5
Use of a model-based gradient boosting framework to assess spatial and non-linear effects of variables on pedestrian crash frequency at macro-level5
Empirical investigation of child evacuation under non-emergency and emergency situations5
Analyzing single-vehicle and multi-vehicle freeway crashes with unobserved heterogeneity5
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