Exploring variations and temporal instability of factors affecting driver injury severities between different vehicle impact locations under adverse road surface …

Q Ren, M Xu - Analytic methods in accident research, 2023 - Elsevier
The adverse road surface condition has been identified as an important factor resulting in
serious casualties and property losses in traffic accidents, and there is a tremendous need to …

Analysis of the injury severity of motor vehicle–pedestrian crashes at urban intersections using spatiotemporal logistic regression models

Q Zeng, Q Wang, K Zhang, SC Wong, P Xu - Accident Analysis & …, 2023 - Elsevier
This paper conducted a comprehensive study on the injury severity of motor vehicle–
pedestrian crashes at 489 urban intersections across a dense road network based on high …

Modeling temporal correlation and heterogeneity in real-time conflict rates using Bayesian Tobit models for signalized intersections

Y Guo, T Sayed, P Liu, Y Wu, Q Yue, S Guo - Accident Analysis & …, 2024 - Elsevier
The use of real-time traffic conflicts for safety studies provide more insight into how important
dynamic signal cycle-related characteristics can affect intersection safety. However, such …

Modeling the evolution of incident impact in urban road networks by leveraging the spatiotemporal propagation of shockwaves

Z Wang, Z Zheng, X Chen, W Ma, H Yang - Transportation Research Part C …, 2024 - Elsevier
Traffic incidents bring disruptions to the smooth movement of vehicles and have a spillover
effect on the traffic in urban road networks. Although there has been a large number of …

Identifying the critical risk factors for road crashes based on large-scale safety audits in India

S Mondal, A Pandey, A Gupta, A Pani - KSCE Journal of Civil Engineering, 2023 - Springer
Road transportation is considered one of the most essential factors for the growth of a
country. Due to the exponential growth in population and fast urbanization, the existing …

Injury Risk Assessment and Interpretation for Roadway Crashes Based on Pre-Crash Indicators and Machine Learning Methods

C Gu, J Xu, S Li, C Gao, Y Ma - Applied Sciences, 2023 - mdpi.com
Pre-crash injury risk (IR) assessment is essential for guiding efforts toward active vehicle
safety. This work aims to conduct crash severity assessment using pre-crash information and …

Bridging conventional and proactive approaches for road safety analytic modeling and future perspectives

D Singh, P Das, I Ghosh - Innovative Infrastructure Solutions, 2024 - Springer
For many years, research has been primarily focused on enhancing our understanding of
the factors that impact the probability of vehicle crashes. The evaluation of safety has …

Research on traffic accident prediction of expressway tunnel based on B-NB model

Y Yang, Y Zhang, T Zheng, Q Tian - Traffic injury prevention, 2024 - Taylor & Francis
Objective The study investigates the relationship between traffic accidents in expressway
tunnels and their influencing factors, with the aim of predicting traffic accidents within tunnels …

A Dynamic Collision Risk Assessment Model for the Traffic Flow on Expressways in Urban Agglomerations in North China

B Li, X Sun, Y He, M Zhang - Systems, 2024 - mdpi.com
Expressways in urban agglomerations are important in connecting cities, thus attracting
great attention from researchers in the expressways risk assessment. However, there is a …

A comprehensive analysis method of urban rail transit operation accidents and safety management strategies based on text big data

Y Wang, K Sheng, P Niu, C Chu, M Li, L Jia - Safety science, 2024 - Elsevier
Although the occurrence of urban rail transit operation accidents threatens the safety of
people's lives and property, there is little research on how to systematically mine the …