Weisheng Jiang,Qianxiang Zhou,Zhongqi Liu et al.
Weisheng Jiang et al.
Objectives: This study, from an interdisciplinary perspective of human factors engineering and biomedical engineering, aims to develop a real-time assessment model for driver status to mitigate the risks associated with f...
Uncovering direct and mediation pathways of autonomous vehicle crash types with augmented built environment factors [0.03%]
Fayang Liang,Min Xu,Qiaoqiao Ren
Fayang Liang
Objective: Autonomous vehicle (AV) crash types could be critically impacted by diverse contextual characteristics. However, their underlying relationships remain quantitatively underexplored. This study seeks to address t...
Daniel Malone,Chris Irwin,Darren Wishart et al.
Daniel Malone et al.
Objective: For emergency vehicles traveling under lights and sirens to reach incidents safely and without delay, other road users must understand and comply with their legal obligation to give way and keep clear. However,...
Amir Hossein Zarei,Morteza Asadamraji
Amir Hossein Zarei
Objectives: Hazard perception is a crucial skill for drivers and is typically measured using computer-based hazard perception tests. In these tests, drivers identify potential hazards in video clips recorded from the driv...
Cluster analysis of major expressway traffic accidents: Characteristics and influential factors [0.03%]
Guoqing Zhang,Jianbo Yuan,Dingli Liu et al.
Guoqing Zhang et al.
Objective: As China operates the world's most extensive expressway network, frequent traffic accidents undermine the sustainable development of its transportation system and negatively impact public travel safety. Variati...
Analyzing rear-end collision risks in foggy weather through a generalized extreme value model [0.03%]
Angshuman Pandit,Anuj Kishor Budhkar
Angshuman Pandit
Objectives: Fog substantially impairs visibility and driver perception, leading to increased risk of crashes, especially rear-end collisions. Traditional crash-based safety studies are constrained by underreporting, low e...
Research on intelligent connected vehicles lane change trajectory optimization based on risk field in mixed traffic [0.03%]
Ting Shang,Yuting Xu,Huihan Mao
Ting Shang
Objective: This study investigates the optimization of lane-change trajectories for intelligent connected vehicles (ICVs) operating in mixed traffic environments. By integrating dynamic risk modeling with cooperative obst...
Quantifying risk factor influences in autonomous vehicle collisions: a Bayesian network probabilistic analysis [0.03%]
Liu Yang,Shuo Xu,Zihao Du
Liu Yang
Objectives: The frequent occurrence of Autonomous Vehicle (AV) collisions significantly impacts development and user trust. These collisions arise from a complex interaction of factors, but their interdependencies are not...
Latent Class Logit Kernel framework for surrogate safety: identifying behavioral thresholds through conflict indicator profiles [0.03%]
Rulla Al-Haideri,Changhe Liu,Karim Ismail et al.
Rulla Al-Haideri et al.
Objectives: Crash data provide objective safety metrics but are rare and often unsuitable for proactive safety management. In contrast, traffic conflict indicators (e.g., time-to-collision, TTC) offer continuous measures ...
Drug-associated road traffic accidents: insights from an analysis of the FDA adverse event reporting system (FAERS) database [0.03%]
药物相关的交通事故：来自美国食品药品监督管理局不良事件报告系统（FAERS）数据库的分析启示
Fangfang Ma,Nonger Shen,Yue Wu et al.
Fangfang Ma et al.
Objective: Drug-related road traffic accidents (RTAs) represent a significant public health concern, yet large-scale real-world evidence on high-risk medications remains limited. This study aimed to characterize the lands...