Analysis of the impact of acoustic stimulation on vigilance decrement and drowsiness on expressways and its habituation [0.03%]
声刺激对警觉性下降及困倦的高速公路驾驶者的影响及其耐受性分析研究
Yasuhiro Shiomi,Tingjian Zou
Yasuhiro Shiomi
This study aims to evaluate the effectiveness of acoustic stimulation in enhancing driver's vigilance, improving driving performance, and preventing inattentive driving on expressways. While numerous studies have investigated the effects of...
Impact of the enhanced Fatality Analysis Reporting System on drug detection in fatally injured drivers [0.03%]
升级后的致命事故分析报告系统对致死驾驶员的药物检测的影响
Stanford Chihuri,Guohua Li
Stanford Chihuri
The prevalence of drugged driving has been increasing in the United States. In 2018, the Fatality Analysis Reporting System (FARS) enhanced toxicology data collection by expanding the number of reportable nonalcohol drugs beyond the previou...
Beyond distraction: unraveling touchscreen effects on driver takeover performance and visual attention dynamics in Level 3 automated driving [0.03%]
超越干扰：解开触屏操作对三级自动驾驶中驾驶员接管性能及视觉注意力动力学的影响
Jiateng Li,Jun Ma
Jiateng Li
Rapid advances in automated driving technology and the widespread adoption of in-vehicle information systems (IVIS) have led to an increasing prevalence of drivers engaging in non-driving-related tasks (NDRTs) during autonomous operation, t...
Drivers' dynamic perception of accident risk and safety in underground road merging areas [0.03%]
地下道路合流区的驾驶人事故风险与安全的动态知觉
Peipei Guo,Fangtong Jiao,Zhigang Du et al.
Peipei Guo et al.
The multi-entry underpass road tunnels is affected by various factors, including long downhill approaches outside the tunnel, monotonous visual environments inside the tunnel, underground merging of the main and secondary roads, and limited...
Modeling interactive crash avoidance behaviors: A multi-agent state-space transformer-enhanced reinforcement learning framework [0.03%]
一种多智能体状态空间变换增强型强化学习框架用于模拟互动避撞行为
Qingwen Pu,Kun Xie,Hongyu Guo et al.
Qingwen Pu et al.
Understanding vehicle-pedestrian interactions at urban intersections is critical for enhancing traffic safety. This study aims to model the interactive crash avoidance behavior of road users in near-miss scenarios, addressing the complexiti...
Solution to data imbalance and complex interactions in traffic conflict modeling: a hypergraph and generative AI approach [0.03%]
解决交通冲突建模中数据不平衡和复杂交互的问题：一种超图和生成人工智能的方法
Kaiming Guan,Junyi Zhang,Wei Ye et al.
Kaiming Guan et al.
Existing traffic conflict models face challenges in handling minority class samples and capturing dynamic interactions in complex traffic scenarios. These limitations hinder model generalization and real-world applicability. This study empl...
A cross-scale traffic-communication control framework for improving safety through proactive congestion mitigation in mixed traffic [0.03%]
一种通过主动缓解交通拥堵来提高安全性的混合交通交叉控制框架
Zhigang Wu,Meng Li,Yanyong Guo et al.
Zhigang Wu et al.
Large-scale traffic accidents are often triggered by sudden shockwaves in congested flow, typically caused by unpredictable driving behaviors. The collaboration among connected and autonomous vehicles (CAVs) offer potential to mitigating tr...
Do colored lane markings improve road safety? Causal evidence from Seoul [0.03%]
基于首尔的因果证据：车道着色能提高道路安全吗？
Seungyeon Lee,Eun Hak Lee
Seungyeon Lee
Colored lane markings are a recent traffic safety intervention in South Korea, designed to improve driver awareness and visual guidance. This study aims to evaluate their effectiveness in reducing traffic crashes. Specifically, 82 road segm...
State-of-the-art review on sustainable driving behavior: trade-offs between road safety, fuel consumption and emissions [0.03%]
可持续驾驶行为的现状回顾：道路安全、燃油消耗和排放之间的权衡取舍
Virginia Petraki,Apostolos Ziakopoulos,George Yannis
Virginia Petraki
Driving behavior is the most critical factor influencing road transportation sustainability by shaping its three greatest pillars: (i) road safety, (ii) driving economy, and (iii) environmental impact. This paper aims to systematically revi...
Evaluation of association between observed driving speeds and the occurrence of crashes using naturalistic driving study data [0.03%]
基于自然驾驶数据评估观察到的行驶速度与事故发生之间的关系
John N Ivan,Yaohua Zhang,Nalini Ravishanker
John N Ivan
The SHRP2 Naturalistic Driving Study (NDS) data were used to investigate association between actual driving speeds before known crashes and at other times. Associations were evaluated for the same driver at a location where a crash occurred...