Antemortem toxicological and behavioral findings of drivers involved in fatal traffic crashes: a comparative analysis of charged and uncharged individuals [0.03%]
致命交通事故中司机的中毒和行为特征：肇事者与非肇事者的比较研究
Dayong Lee,Salvador R Corral,Akilah Mance et al.
Dayong Lee et al.
Objectives: Alcohol/drug-related impairment and unsafe driving behaviors such as speeding, running red lights, or failure to wear a seat belt have been identified as contributing factors to road traffic accidents. This st...
Multi-section landscape intervention for driving fatigue in extra-long tunnels: A real-road driving study based on visual perception and adaptation [0.03%]
基于视觉感知与适应的特长隧道多断面景观干预研究
Xu Ding,Zhigang Du,Shiming He et al.
Xu Ding et al.
Objective: The weak visual reference environment and prolonged driving duration in extra-long tunnels may induce driving fatigue accumulation, potentially compromising traffic safety. This study aims to investigate the im...
Determinants of following distance and fatality risk in motorcycle rear-end collisions in Thailand [0.03%]
泰国摩托车追尾碰撞的跟车距离和致死风险决定因素分析研究
Phanuphong Prajongkha,Kunnawee Kanitpong
Phanuphong Prajongkha
Objective: Critical following distance, particularly in motorcycle-following behavior, contributes to rear-end collisions that result in severe injuries and fatalities for motorcyclists. This study investigates the key fa...
Examination of risk factors in bus accidents: merging the AcciMap framework with natural language processing methods [0.03%]
基于AcciMap框架和自然语言处理方法的公交事故危险因素分析研究
Ruisong Wang,Xuejun Niu,Dan Zhao et al.
Ruisong Wang et al.
Objective: This study develops and validates an automated, text-driven pipeline that integrates Natural Language Processing (NLP) with the AcciMap systemic-accident framework to identify, cluster, and quantify multi-level...
Joint assessment of casualty scale and injury severity in single-vehicle crashes with passenger injuries: A heterogeneity approach considering comprehensive severity [0.03%]
综合考虑伤害严重度的异质性方法在单一起事故中评估人员伤亡数量及伤者伤情分级的研究
Yuquan Meng,Yonggang Wang,Hong Chen et al.
Yuquan Meng et al.
Objectives: Focusing on the phenomenon of single-vehicle crashes resulting in severe injuries and numerous casualties, this study investigates the influencing factors of occupant casualties in single-vehicle crashes by em...
Spatial variation characteristics of drivers' visual search behavior at urban expressway exits [0.03%]
城市快速路出口段驾驶人视觉搜索行为的空间变化特征分析
Zuoqi He,Dongkai Fan
Zuoqi He
Objectives: This study aims to reveal the spatial variation characteristics of drivers' visual search behavior in urban expressway exit areas by analyzing the evolution patterns of their fixation characteristics and fixat...
Driving under the influence of alcohol and cannabis: Associations with substance use and behavioral health characteristics [0.03%]
饮酒和大麻后驾驶：与物质使用及行为健康特征的关系
Namkee G Choi,C Nathan Marti
Namkee G Choi
Objectives: Driving under the influence of alcohol (DUIA) and cannabis (DUIC) continues to increase. Given the increased number of states with cannabis legalization in recent years, updates on driving under the influence ...
Functional brain network-based identification of special weather conditions on grassland road [0.03%]
基于功能脑网络的草原公路特殊天气识别
Mingxing Gao,Yin Liang,Hangtian Li
Mingxing Gao
Objective: The grassland roads in Inner Mongolia have the characteristics of low traffic density, simple road geometry, and few environmental disturbances, making them an ideal scenario for the research of autonomous driv...
Segment-based truck crash risk analysis on highways: clustering and logistic regression for safety enhancement [0.03%]
基于分段的高速公路货车事故风险分析：用于安全提升的聚类和逻辑回归模型
Kanghyun Kim,Jungyeol Hong
Kanghyun Kim
Objective: Truck-involved crashes on highways represent a significant threat to traffic safety because of their disproportionate severity and frequency. Existing crash analyses frequently overlook the spatial heterogeneit...
Analysis of head injury risk in vehicle to pedestrian collisions using a large-scale simulation dataset [0.03%]
基于大规模仿真数据集的汽车与行人碰撞中头部伤害风险分析
Wu He,Han Yong,Gong Dongmei et al.
Wu He et al.
Objective: Head injury is the main cause of pedestrian death in traffic accidents, and rapid prediction of injury severity can win more time for accurate treatment and vehicle decisions. This paper aims to establish an ap...