Journal of Transportation Safety & Security

Papers
(The median citation count of Journal of Transportation Safety & Security is 1. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
A simulation analysis to explore when using a calibration function is preferred over a scalar factor for calibrating safety performance functions24
Truck drivers’ self-reported engagement in overloading: An application of the extended theory of planned behavior20
Contributing factors on the level of delay caused by crashes: a hybrid method of latent class analysis and XGBoost based SHAP algorithm18
Cluster analysis and multi-level modeling for evaluating the impact of rain on aggressive lane-changing characteristics utilizing naturalistic driving data17
Pattern recognition from injury severity types of frontage roadway crashes16
Multiscale spatial analysis of macro-level determinants of bicycle crash frequencies in the Phoenix metro region15
How to select distracted driving countermeasures evaluation metrics: A systematic review13
Investigating the impacts of driver’s risky driving behavior on traffic crash risk detection model13
A methodology for prioritizing safety indicators using individual vehicle trajectory data13
Real-time driving risk assessment based on the psycho-physical field13
Prudent behavior of young pedestrians: What are the determinants?11
An empirical analysis of how asleep/fatigued driving-injury severities have changed over time11
A new approach in developing an urban rail transit emergency knowledge graph based on operation fault logs10
Understanding the role of driver behaviors and performance in safety-critical events: Application of machine learning10
Takeover behavior patterns for autonomous driving in crash scenarios9
Identifying nonlinear effects of factors on hit-and-run crashes using interpretable machine learning techniques9
Could music reduce driver fatigue? An investigation on music effects in various weather conditions9
Safety systems and vehicle generations: Analysis of accident and travel data collected using event data recorders9
Should voice navigation prompts be earlier and more complicated? A study of drivers’ visual attention, physiology and operating performance9
Investigating the safety impacts of discontinuities in cycle network: A case study of London9
A deep learning and full consistency approach to roadway safety scoring8
An integrated decision support system for ship collision avoidance8
Exploring injury severity of bicycle-motor vehicle crashes: A two-stage approach integrating latent class analysis and random parameter logit model8
An approach for evaluating traffic safety of expressway weaving segments: Investigating risk patterns of lane-changing conflicts8
Normalizing crash risk of partially automated vehicles under sparse data7
A dynamic driving-style analysis method based on drivers’ interaction with surrounding vehicles7
Pedestrian crossing decision during flashing green-countdown signal for urban signalized intersection7
Wrong-way driving crash injury analysis on arterial road networks using non-parametric data mining techniques7
Analyzing single-vehicle and multi-vehicle freeway crashes with unobserved heterogeneity7
How do environmental and road factors impact automated vehicle crashes? An evidence from ADAS and ADS7
Effects of shipping cycles on traffic delays and accident costs at port collector-distributor roads7
Safety evaluation of variable speed limit system in British Columbia7
Understanding distracted driving patterns of ride-hailing drivers from multi-source data: Applying association rule mining6
Combined variable speed limit and lane change guidance for secondary crash prevention using distributed deep reinforcement learning6
Temporal instability assessment of motorcyclist-injury severities using categorical principal component analysis and random parameter approach with heterogeneity in means6
A comparative study of factors associated with motorcycle crash severities under different causal scenarios6
A causal inference analysis of injury severity in motorcyclist crashes in Brazilian highway databases6
Unraveling the complex relationship between weather conditions and traffic safety6
Impact of operating speed measures on traffic crashes: Annual and daily level models for rural two-lane and rural multilane roadways5
An integrated solution to identify pedestrian-vehicle accident prone locations: GIS-based multicriteria decision approach5
A genetic programming approach for real-time crash prediction to solve trade-off between interpretability and accuracy5
Optimizing the guiding sign system to improve drivers’ lane-changing behavior at freeway exit ramp5
Educational disparities shifts in motorcyclist injury severity: Accounting for unobserved heterogeneity5
Vehicle trajectory prediction and collision warning for lane change conditions5
Evaluating the benefits of using a context classification system to develop intersection safety performance functions4
Determinants of driver injury severity in electric vehicle crashes: A random parameters binary probit model with heterogeneity in means and variances4
Advanced stop boxes and their effect on traffic conflict rates between cyclists and turning vehicles4
Gate violation prediction at highway-rail grade crossings using tree-based ensemble techniques4
Safety evaluation of pedestrian-vehicle interaction at signalized intersections in Changsha, China4
Considering demographics of other involved drivers in predicting the highest driver injury severity in multi-vehicle crashes on rural two-lane roads in California4
Exploring the spatiotemporal heterogeneity of freeway secondary crashes using GTWR model4
Optimal maintenance strategy for enhancing safety and service level of port collector-distributor roads considering shipping cycle effects4
An improved risk estimation model of lane change using naturalistic vehicle trajectories4
Impact of access point density on driving safety in underground loops: Examining drivers’ operational performance and visual characteristics4
Combining emerging hotspots analysis with XGBoost for modeling pedestrian injuries in pedestrian-vehicle crashes: a case study of North Carolina4
Analysis of factors affecting occupant injury severity in rear-end crashes by different struck vehicle groups: A random thresholds random parameters hierarchical ordered probit model3
Hard braking collected from probe vehicles as a predictor of crash occurrence at urban intersections in Connecticut3
Temporal assessment of injury severities of two types of pedestrian-vehicle crashes using unobserved-heterogeneity models3
Movement-based intersection crash frequency modeling3
Use of a model-based gradient boosting framework to assess spatial and non-linear effects of variables on pedestrian crash frequency at macro-level3
Mixed logit models for examining pedestrian injury severities at intersection and non-intersection locations3
Real-time sideswipe conflict risk prediction on the expressway3
Exploring the influence of seafarers’ individual characteristics on the perceived risk in Maritime emergencies: A simulator study3
Severity analysis of red-light–running behavior at signalized intersections3
Near misses and split routes: Comparing rider behavior, driver interaction, and route choice for cyclists3
COVID-19, tourism and road traffic accidents: Evidence from Greece3
Usage-based vehicle insurance: Driving style factors of accident probability and severity3
Utilizing angle-based outlier detection method with sliding window mechanism to identify real-time crash risk3
Quantification of cut-in risk and analysis of its influencing factors: a study using random parameters ordered probit model3
Corridor-level network screening and modeling of fatal and serious injury crashes on urban and suburban arterial corridors in Florida3
Exploring the impact of seasonal weather factors on frequency of lane-departure crashes in Maine3
An exploratory analysis of two-vehicle crashes for distracted driving with a mixed approach: Machine learning algorithm with unobserved heterogeneity3
How does older and younger drivers’ risk cognition affect the safety performance: A driving simulator study of sudden lane-changing of the leading vehicle3
Modeling disruption durations of subway service via random survival forests: The case of Shanghai3
Measuring and understanding the association between license-related infractions and road crash severity3
Calibrating safety-based design charts for horizontal curves using system reliability analysis and multivariate models3
Evasion planning for autonomous intersection control based on an optimized conflict point control formulation3
Characterizing the differences of injury severity between single-vehicle and multi-vehicle crashes in China2
Investigating injury severity of pedestrian–vehicle crashes by integrating latent class cluster analysis and unbalanced panel mixed ordered probit model2
Does random slope hierarchical modeling always outperform random intercept counterpart? Accounting for unobserved heterogeneity in a real-time empirical analysis of critical crash occurrence2
Unbelted and unlicensed: An investigation of crash clusters and associated injury severities2
Surrogate safety assessment of super DDI design: A case study in Denver, Colorado2
Empirical approach for identifying potential rear-end collisions using trajectory data2
Factors affecting fatal PTW at-fault crash outcome metrics at intersections and non-intersections in South Korea2
Modeling spatial spillover effect on intersection crash propensity: a case study at the county level in Ohio2
Injury severity of single-vehicle weather-related crashes on two-lane highways2
An image-based crash risk prediction model using visual attention mapping and a deep convolutional neural network2
Verification analysis of relationship between driving failure probability and traffic accident rate2
Identifying spatio-temporal pattern of electric vehicles involved traffic accidents2
A novel deep learning framework for detecting seafarer’s unsafe behavior2
Tempo-categorization of road accident hotspots to enhance the problem diagnosis process and detect hidden hazardous locations2
Enhancing urban metro system resilience under disruptive events through multi-agent reinforcement learning2
Convolutional neural network-based sensitivity analysis of parent and child features of different vehicle types in single-vehicle crashes2
An ensemble machine learning method for crash responsibility assignment in quasi-induced exposure theory2
Before-after safety evaluation of TWB at signalized intersection based on traffic conflict technique2
Structural equation modeling approach for investigating drivers’ risky behavior in clear and adverse weather using SHRP2 naturalistic driving data1
Identifying attribute associations in fatal speeding crashes using latent class clustering and association rule mining1
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 instability1
Incorporating spatio-temporal correlation and interaction into a generalized ordered logit model for examining injury severities of traffic accidents1
A three-step methodology to complement underreporting maritime accident records1
Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models1
Severity modeling of work zone crashes in New Jersey using machine learning models1
Effects of high-speed rail illumination on traffic safety at night in a road-cum-railway section – Implications for the infrastructure design1
Reinforcement learning-based optimal control of wearable alarms for consistent roadway workers’ reactions to traffic hazards1
A random parameter bivariate probit model for injury severities of riders and pillion passengers in motorcycle crashes1
Rules mining on hybrid electric vehicle consumer complaint database1
Data-driven gale-induced risk assessment strategy for the high-speed railway system1
Exploring the effects of Connected and Autonomous Vehicles on traffic safety and operation at full-cloverleaf interchanges1
GIS-based assessment of pedestrian-vehicle accidents in terms of safety with four different ML models1
Categorical principal component analysis (CATPCA) of pedestrian crashes in Central Florida1
Evaluating traffic conflicts and crash risk in nighttime maintenance operation areas of highways using vehicles’ trajectory data1
Injury severity analysis of drivers in single-vehicle rollover crashes: A random thresholds random parameters hierarchical ordered logit approach1
A study of aberrant driving behaviors and road accidents in Chinese ride-hailing drivers1
Crash severity prediction and interpretation for road determinants based on a hybrid method1
Enhancing bicyclist survival time in fatal crashes: Investigating the impact of faster crash notification time through explainable machine learning1
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 model1
Examining the causal effects of distracted driving on crash injury severities1
Pattern recognition from light delivery vehicle crash characteristics1
Application of GIS in road safety analysis: A case study of NH66 corridor in Kollam1
Open source head and face estimation as a complement to commercial eye-tracking1
Analysis of human errors in maritime accidents: A Bayesian spatial multinomial logistic model1
Investigating the application of deep learning to identify pedestrian collision-prone zones1
A comparison of patterns and contributing factors of ADAS and ADS involved crashes1
An integrated clustering and Bayesian approach to investigate the severity of pedestrian collisions at highway-railway grade crossings collisions1
Factors affecting pedestrian injury severity in pedestrian-vehicle crashes: Insights from a data mining and mixed logit model approach1
Modeling non-parametric effects of two-vehicle speed on crash risk at intersections: Leveraging two-dimensional additive logistic regression beyond univariable approach1
An integration methodology of safety and security requirements for autonomous vehicles1
Analysis of lane-changing conflict between cars and trucks at freeway merging sections using UAV video data1
Investigation of factors contributing to bus-crash severity based on extended hierarchical ordered probit model with heteroscedasticity1
Examining the crash risk factors associated with cycling by considering spatial and temporal disaggregation of exposure: Findings from four Dutch cities1
Shared e-bike riders’ psychology contribution to self-reported traffic accidents: a structural equation model approach with mediation analysis1
Young drivers and cellphone distraction: Pattern recognition from fatal crashes1
Analyzing the time-varying patterns of contributing factors in work zone-related crashes1
Freeway crash risk prediction considering unobserved heterogeneity: A random effect negative binomial regression approach1
Investigating the impact of influential factors on crash types for autonomous vehicles at intersections1
Recognition of typical driving stressors and driver stress level in a Chinese sample1
Analysis of driving left-turn errors of young and older drivers at urban intersections1
Long-term safety evaluation of the primary seat-belt law1
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