HSPG: An open-loop testing framework for autonomous driving based on proactive generation of hazardous scenario [0.03%]
HSPG：一种基于主动生成危险场景的自动驾驶开环测试框架
Cheng Wang,Qiang Liu,Wenbo Fang et al.
Cheng Wang et al.
Autonomous driving algorithms struggle to achieve sufficient coverage of long-tail scenarios in complex traffic environments, primarily due to the scarcity of high-risk samples in real-world data. Existing scenario generation methods also h...
P-AEB performance and limiting factors for superior-rated P-AEB systems based on simulations of real-world pedestrian crashes: A simulation study on the VIPA database [0.03%]
基于真实世界行人的碰撞模拟的优秀P-AEB系统的P-AEB性能和限制因素：在VIPA数据库上的一项仿真研究
Daniel Perez-Rapela,Luke E Riexinger,David G Kidd et al.
Daniel Perez-Rapela et al.
Pedestrian automatic emergency braking systems (P-AEB) have recently been introduced in the vehicle fleet to reduce vehicle-to-pedestrian collisions. However, studies on the real-world efficacy of these systems have yielded mixed results. T...
Spotting Danger: How child and adult pedestrians assess distracted drivers in hazard perception [0.03%]
危险识别：儿童和成人行人如何评估危险情境中的分心驾驶者
Meng Liu,Yu Chen,Xiangling Zhuang et al.
Meng Liu et al.
Child pedestrian casualties in traffic accidents remains high, particularly when they cross the street alone. One contributing factor is their limited ability to identify potential risks. While vehicle motion cues and environmental factors ...
A spatially structured empirical Bayes framework for the evaluation of network-wide safety countermeasures [0.03%]
一种用于评估全网络安全改善措施的空间结构化经验贝叶斯方法
Mingjian Wu,Aurélie Labbe,Alexandra M Schmidt et al.
Mingjian Wu et al.
This study proposes a two-step, spatially structured Empirical Bayes (EB) framework for evaluating the safety effectiveness of network-wide countermeasures, leveraging the Network Process Convolution (NPC) model. A central challenge in road...
On the analytical relationship between string stability and traffic safety [0.03%]
关于车辆列队稳定性和交通安全的理论分析关系式
Junfan Zhuo,Feng Zhu
Junfan Zhuo
String stability and traffic safety have both received considerable attention in transportation research. However, the analytical relationship between them remains insufficiently explored. This paper addresses this gap by examining four que...
Alcohol-involved road safety trends and strategies: insights from U.S. road safety monitoring (2015-2024) [0.03%]
基于美国道路交通安全监测（2015-2024）的酒后道路安全形势与策略分析
Milad Delavary,Craig Lyon,Hannah Barrett et al.
Milad Delavary et al.
Persistent risky behaviours continue to undermine progress reducing traffic fatalities in the United States. Despite the implementation of programmatic interventions combined with increasing awareness, alcohol-impaired driving remains a con...
Which approach better samples extreme traffic conflicts? Conventional- vs. machine learning-based sampling methods [0.03%]
传统方法与机器学习在极端交通冲突采样中哪个更好？
Maryam Hasanpour,Zhankun Chen,Carmelo D&#x;Agostino et al.
Maryam Hasanpour et al.
Extreme value theory has been receiving much attention of late for proactively estimating crash risk through a two-step procedure that first samples extreme traffic conflicts and then estimates crash risk based on those sampled extremes. Al...
Identification of high-risk expressway segments using connected vehicle data: an empirical analysis [0.03%]
基于网联车辆数据的高速公路高危路段识别及实证分析
Xueao Li,Junhua Wang,Ting Fu et al.
Xueao Li et al.
Traditional road safety analysis primarily relies on historical crash data, which require long accumulation periods and are constrained by limitations such as insufficient data volume, imprecise location information, and underreporting, pot...
Toward early warning of unsafe behavior of excavator operators under time pressure: experimental evidence and EEG-based detection via RCF-IncepLite model [0.03%]
基于RCF-IncepLite模型的挖掘机操作人员时间压力下不安全行为的早期预警：实验证据及EEG检测方法研究
Baoquan Cheng,Xuhui He,Jianling Huang et al.
Baoquan Cheng et al.
Time pressure can impair the cognitive functioning of excavator operators, thereby increasing unsafe behaviors and elevating the likelihood of accidents. This study uses a controlled excavator operation task with synchronized behavioral obs...
When feeling safe becomes risky: A VR-EEG-computer vision framework for analyzing cyclist safety in dynamic traffic environment [0.03%]
当感到安全变得危险时：一种分析动态交通环境中自行车骑行者安全的VR-EEG-计算机视觉框架
Lurong Xu,Tengfeng Lin,Steve O&#x;Hern et al.
Lurong Xu et al.
The mismatch between cyclists' perceived safety and actual crash risk in mixed-traffic environments is a critical yet underexplored issue in road safety research. While prior studies have focused on static environmental factors, they often ...