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 2020-07-01 to 2024-07-01.)
ArticleCitations
Real-time crash prediction for a long low-traffic volume corridor using corrected-impurity importance and semi-parametric generalized additive model17
Modeling highly imbalanced crash severity data by ensemble methods and global sensitivity analysis16
Safety evaluation of pedestrian-vehicle interaction at signalized intersections in Changsha, China16
A comprehensive analysis of factors that influence interstate highway crash severity in Alabama14
Impact of HMI on driver’s distraction on a freeway under heavy foggy condition based on visual characteristics14
Pattern recognition in speeding related motorcycle crashes13
An empirical investigation of the factors contributing to local-vehicle and non-local-vehicle crashes on freeway12
Assessing the relationship between driving skill, driving behavior and driving aggressiveness12
Spatial zero-inflated negative binomial regression models: Application for estimating frequencies of rear-end crashes on Thai highways11
Risk preference, risk perception as predictors of risky driving behaviors: the moderating effects of gender, age, and driving experience11
Analyzing injury severity of rear-end crashes involving large trucks using a mixed logit model: A case study in North Carolina10
Predicting pedestrian crash locations in urban India: An integrated GIS-based spatiotemporal HSID technique10
An empirical analysis of how asleep/fatigued driving-injury severities have changed over time10
Traffic safety analysis of inter-tunnel weaving section with conflict prediction models10
Spatial-temporal varying coefficient model for lane-changing behavior in work zone merging areas10
Mixed logit approach to modeling the severity of pedestrian-injury in pedestrian-vehicle crashes in North Carolina: Accounting for unobserved heterogeneity9
Exploring injury severity of bicycle-motor vehicle crashes: A two-stage approach integrating latent class analysis and random parameter logit model9
Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models9
Mixed logit models for examining pedestrian injury severities at intersection and non-intersection locations9
Analysing the injury severity characteristics of urban elderly drivers’ traffic accidents through the generalised ordered logit model: A case of Seoul, South Korea9
Injury severity analysis of drivers in single-vehicle rollover crashes: A random thresholds random parameters hierarchical ordered logit approach9
Considering demographics of other involved drivers in predicting the highest driver injury severity in multi-vehicle crashes on rural two-lane roads in California9
A random parameter bivariate probit model for injury severities of riders and pillion passengers in motorcycle crashes8
A genetic programming approach for real-time crash prediction to solve trade-off between interpretability and accuracy8
Combined variable speed limit and lane change guidance for secondary crash prevention using distributed deep reinforcement learning8
Influence of the tunnel retro-reflective arch in freeway tunnels on driving behavior: A driving simulator study8
Modeling dynamic distribution of dilemma zone at signalized intersections for developing world traffic7
Does random slope hierarchical modeling always outperform random intercept counterpart? Accounting for unobserved heterogeneity in a real-time empirical analysis of critical crash occurrence7
Young drivers and cellphone distraction: Pattern recognition from fatal crashes7
Cluster analysis and multi-level modeling for evaluating the impact of rain on aggressive lane-changing characteristics utilizing naturalistic driving data7
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
Identification and spatiotemporal evolution analysis of high-risk crash spots in urban roads at the microzone-level: Using the space-time cube method7
Severity modeling of work zone crashes in New Jersey using machine learning models6
Safety first: The risk of over-reliance on technology in navigation6
Surrogate safety assessment of super DDI design: A case study in Denver, Colorado6
Pattern recognition from light delivery vehicle crash characteristics6
Traffic safety analysis at interchange exits using the surrogate measure of aggressive driving behavior and speed variation6
Development of a real-time security management system for restricted access areas using computer vision and deep learning6
Railroad accident causal analysis with unstructured narratives using bidirectional encoder representations for transformers6
Analyzing single-vehicle and multi-vehicle freeway crashes with unobserved heterogeneity6
Analysis of factors affecting the frequency of crashes on interstate freeways by vehicle type considering multiple weather variables6
Analysis of human errors in maritime accidents: A Bayesian spatial multinomial logistic model6
Identification of contributing factors for interchange crashes based on a quasi-induced exposure method6
Empirical investigation of child evacuation under non-emergency and emergency situations6
Investigation of factors contributing to bus-crash severity based on extended hierarchical ordered probit model with heteroscedasticity6
Macro-level collision prediction using geographically weighted negative binomial regression5
Evasion planning for autonomous intersection control based on an optimized conflict point control formulation5
Use of a model-based gradient boosting framework to assess spatial and non-linear effects of variables on pedestrian crash frequency at macro-level5
A novel deep learning approach to predict crash severity in adverse weather on rural mountainous freeway5
A civil aircraft passenger deplaning model considering patients with severe acute airborne disease5
Determinants of traffic violations in China: A case-study with a partial proportional odds model5
Examining the causal effects of distracted driving on crash injury severities4
Usage-based vehicle insurance: Driving style factors of accident probability and severity4
Wrong-way driving crash injury analysis on arterial road networks using non-parametric data mining techniques4
Developing context-specific safety performance functions for Florida intersections to more accurately predict intersection crashes4
Investigating the safety performance of the new continuous green T-partial cloverleaf A interchange4
Experimental variables assessment for virtual road safety audit using analytic hierarchy process4
Analysis of lane-changing conflict between cars and trucks at freeway merging sections using UAV video data4
A latent class multinomial logit analysis of factors associated with pedestrian injury severity of inter-urban highway crashes4
Contributing factors on the level of delay caused by crashes: a hybrid method of latent class analysis and XGBoost based SHAP algorithm4
Effects of emergency escape ramps on crash injury severity reduction on mountain freeways: A case study in China4
Quantification of cut-in risk and analysis of its influencing factors: a study using random parameters ordered probit model4
Evaluating safety performance of the offset diamond interchange design using VISSIM and surrogate safety assessment model4
Investigating injury severity of pedestrian–vehicle crashes by integrating latent class cluster analysis and unbalanced panel mixed ordered probit model4
Characterizing the differences of injury severity between single-vehicle and multi-vehicle crashes in China4
Spatial interactions of shared e-scooter trip generation and vulnerable road user crash frequency4
The impact of sex on motor vehicle crash injury outcomes3
Pedestrian crossing decision during flashing green-countdown signal for urban signalized intersection3
Combining emerging hotspots analysis with XGBoost for modeling pedestrian injuries in pedestrian-vehicle crashes: a case study of North Carolina3
A new approach in developing an urban rail transit emergency knowledge graph based on operation fault logs3
Understanding the mechanism behind young drivers’ distracted driving behaviour based on S-O-R theory3
Pedestrian safety analysis of urban intersections in Kolkata, India using a combined proactive and reactive approach3
A comparative study of factors associated with motorcycle crash severities under different causal scenarios3
Calibrating safety-based design charts for horizontal curves using system reliability analysis and multivariate models3
GIS-based assessment of pedestrian-vehicle accidents in terms of safety with four different ML models3
Takeover behavior patterns for autonomous driving in crash scenarios3
An exploratory analysis of two-vehicle crashes for distracted driving with a mixed approach: Machine learning algorithm with unobserved heterogeneity3
An integrated solution to identify pedestrian-vehicle accident prone locations: GIS-based multicriteria decision approach3
Traffic safety analysis and model updating for freeways using Bayesian method3
Modeling disruption durations of subway service via random survival forests: The case of Shanghai3
Analysis of risk factors affecting delay of high-speed railway in China based on Bayesian network modeling3
Evaluation of traffic warning signs on truck safety considering endogeneity, a copula-based method3
An improved optimization framework for evacuation planning in facilities considering pedestrian dynamics3
A semantic embedding methodology for motor vehicle crash records: A case study of traffic safety in Manhattan Borough of New York City3
An ensemble machine learning method for crash responsibility assignment in quasi-induced exposure theory2
An aggressive driving state recognition model using EEG based on stacking ensemble learning2
Investigating the impact of influential factors on crash types for autonomous vehicles at intersections2
Macro-level hazardous material transportation safety analysis in China using a Bayesian negative binomial model combined with conditional autoregression prior2
Modeling spatial spillover effect on intersection crash propensity: a case study at the county level in Ohio2
Results and lessons from local calibration process of the Highway Safety Manual for the state of Maryland: Freeway segments, speed-change lanes, and ramp terminals2
Exploring the main and interaction effects of traffic flow characteristics, roadway design and weather conditions on the real-time crash risk for urban roads with mixed logit model2
Corridor-level network screening and modeling of fatal and serious injury crashes on urban and suburban arterial corridors in Florida2
An improved risk estimation model of lane change using naturalistic vehicle trajectories2
Hot-spot analysis of motorcyclist crashes involving fixed objects using multinomial logit and data mining tools2
Influence of adaptive signal control technology (ASCT) on severity of intersection-related crashes2
Enhancing bicyclist survival time in fatal crashes: Investigating the impact of faster crash notification time through explainable machine learning2
Severity analysis of red-light–running behavior at signalized intersections2
Policies, population and impacts in metro ridership response to COVID-19 in Changsha2
Categorical principal component analysis (CATPCA) of pedestrian crashes in Central Florida2
Advanced stop boxes and their effect on traffic conflict rates between cyclists and turning vehicles2
Applying different analytic methods to determine black spots in two-lane highways2
Safety systems and vehicle generations: Analysis of accident and travel data collected using event data recorders2
Exploring the impact of seasonal weather factors on frequency of lane-departure crashes in Maine2
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