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...
Sometimes right, sometimes wrong: Drivers' responses to inconsistently accurate automated vehicle system confidence information [0.03%]
时对时错：驾驶员对自动化车辆系统信心信息的不一致准确性的响应
Myeongkyu Lee,Brandon J Pitts
Myeongkyu Lee
Automated vehicles (AVs) are becoming increasingly equipped with intelligent functions that support drivers' decision-making. Human-machine interfaces (HMIs) that communicate an AV's confidence in its ability to navigate challenges in the d...
Proactive safety at CVIS-enabled intersections: a framework based on high-fidelity trajectory reconstruction and dynamic risk assessment [0.03%]
基于高保真轨迹重建和动态风险评估的CVIS交叉口主动安全框架
Yunxuan Li,Shihao Wang,Lishengsa Yue et al.
Yunxuan Li et al.
High-fidelity vehicle trajectories are critical for proactive safety at intersections, where traditional reconstruction methods based on linear models or interpolation fail to capture complex nonlinear dynamics like sudden stops and sharp t...
Dynamic dilemma zone at signalized intersection: attention allocation patterns using cure survival analysis for male riders [0.03%]
信号交叉口动态危险区域：使用CURE生存分析的男性骑行者注意力分配模式
Monik Gupta,Nagendra R Velaga
Monik Gupta
The design of the signal at the intersection considers the constant speed of the riders and the dilemma zone to be static. However, these assumptions may not hold true in complex environments with multiple users. This study explores the dyn...