Visual attention and driving behavior of male autistic individuals while encountering driving hazards: A driving simulator study [0.03%]
视觉注意和自闭症男青年在驾驶过程中遇到危险时的驾驶行为：一项驾驶模拟器研究
Wondwesen Girma Mamo,Wael K M Alhajyaseen,Hélène Dirix et al.
Wondwesen Girma Mamo et al.
Hazard perception is an important aspect of driving competence that significantly contributes to road safety. Allocating sufficient visual attention to hazards and responding accordingly can help reduce the likelihood of road crashes. Altho...
Trajectory planning for traffic safety with dynamic ethical risk adjustment [0.03%]
基于动态伦理风险调整的交通安全轨迹规划方法研究
Chengcan Liu,Haohan Hu,Tie Ma et al.
Chengcan Liu et al.
The integration of ethical principles into the trajectory planning of connected and automated vehicles remains a critical challenge, balancing technical efficacy with societal values. Current algorithms prioritize ego-vehicle safety but ina...
Parents protect their children when travelling: Exploring traffic safety behavioral intentions through the lens of cognitive appraisal and protection motivation theories [0.03%]
认知评估和保护动机理论视角下的家长道路交通安全行为意图研究
Nhat Dinh Quang Vo,Duy Quy Nguyen-Phuoc,Amjad Pervez et al.
Nhat Dinh Quang Vo et al.
Child traffic safety remains a significant public health concern in developing countries such as Vietnam, where private vehicles are the primary mode of transport for children. Despite existing regulations, concerns persist regarding parent...
Adaptive risk inversion with iterative exploration for high-risk AV-VRU interactions [0.03%]
自适应风险逆向迭代探索在高风险自动驾驶车辆与弱势道路使用者互动中的应用
Yujia Zhao,Ying Ni,Jialin Fan et al.
Yujia Zhao et al.
The interaction between vulnerable road users (VRUs) and automated vehicles (AVs) represents a critical aspect of AV safety evaluation, especially under realistic high-risk scenarios. However, existing scenario-based testing methodologies o...
From crash reports to safer roads: a multimodal framework integrating vision-language models and street view analysis [0.03%]
从故障报告到更安全的道路：一种多模态框架，整合视觉语言模型和街道视图分析
Guanhe Wu,Xintong Yan,Yajie Zou et al.
Guanhe Wu et al.
Crash narratives and diagrams contain rich causal and contextual information that is often underutilized in traditional road safety analysis, which typically relies on aggregated crash counts and tabulated variables. Such approaches have li...
A 'Cluster-then-Estimate' Natural Language Processing (NLP) Approach for Classifying Maritime Incident Severity Based on Textual Descriptions [0.03%]
基于文本描述的海上事故严重性“聚类然后估计”的自然语言处理（NLP）分类方法研究
Tianyi Chen,Maohan Liang,Wei Siong Lee et al.
Tianyi Chen et al.
Textual incident description is a vital source for understanding the severity of maritime incident. In the maritime industry, relevant authorities and companies typically rely on manual methods to estimate incident severity based on textual...
Evaluation of the safety improvement effects and adaptability of speed limit measures on downhill curved sections of mountainous freeways [0.03%]
山区高速公路下坡曲线段限速措施安全效果及适用性评价
Yesihati Azati,Xuesong Wang,Xiaohan Yang et al.
Yesihati Azati et al.
Downhill curved segments of mountainous freeways are high-risk locations due to the combined effects of longitudinal potential energy and lateral centrifugal forces, and speed limit optimization is a key measure for mitigating crash risk on...
When does visual distraction become dangerous in car-following? Evidence from naturalistic driving study data with causal inference on time-to-collision and braking intensity [0.03%]
基于碰撞时间和刹车强度的在车距保持中视觉干扰何时变得危险的因果推断及自然驾驶数据分析
Uibeom Chun,Mohamed Abdel-Aty,Zijin Wang
Uibeom Chun
Visual distraction is a major contributor to crash risk, particularly in car-following situations that demand continuous monitoring and rapid response. Although prior research using simulators and Naturalistic Driving Study (NDS) data has a...
Classifying experienced male drivers' mental workload on freeway ramps based on heart rate and speed measurements: A real-vehicle experiment [0.03%]
基于心率和速度测量的高速公路匝道行驶的驾龄男性驾驶员的精神负荷分类：真实车辆实验
Jie Wang,Lu Chen,Quankang Zhu et al.
Jie Wang et al.
Freeway ramps are recognized as high-risk segments of the road network due to their geometric complexity and dynamic traffic demands. This study investigates drivers' mental workload in ramp areas by integrating psycho-physiological respons...
Visual motion contrast thresholds in the periphery predict older drivers' behavior at intersections [0.03%]
老年人周边视野的视觉运动对比阈值预测其在交叉路口的行为
Vincent Francoeur,Christine Saber,Steven Henderson et al.
Vincent Francoeur et al.
Peripheral motion contrast sensitivity decline is likely due to a progressive dysfunction of the magnocellular pathway in the aging brain. Previous research from our group had demonstrated that the Peripheral Motion Contrast Threshold 2-min...