Suppr超能文献

基于通用估计系统(GES)事故数据库的闯红灯事故分类、比较和风险分析。

Red-Light-Running Crashes' Classification, Comparison, and Risk Analysis Based on General Estimates System (GES) Crash Database.

机构信息

MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.

Centre for Accident Research and Road Safety-Queensland (CARRS-Q), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Kelvin Grove, QLD 4059, Australia.

出版信息

Int J Environ Res Public Health. 2018 Jun 19;15(6):1290. doi: 10.3390/ijerph15061290.

Abstract

Red-light running (RLR) has been identified as one of the prominent contributing factors involved in signalized intersection crashes. In order to reduce RLR crashes, primarily, a better understanding of RLR behavior and crashes is needed. In this study, three RLR crash types were extracted from the general estimates system (GES), including go-straight (GS) RLR vehicle colliding with go-straight non-RLR vehicle, go-straight RLR vehicle colliding with left-turn (LT) non-RLR vehicle, and left-turn RLR vehicle colliding with go-straight non-RLR vehicle. Then, crash features within each crash type scenario were compared, and risk analyses of GS RLR and LT RLR were also conducted. The results indicated that for the GS RLR driver, the speed limit displayed the highest effects on the percentages of GS RLR collision scenarios. For the LT RLR driver, the number of lanes displayed the highest effects on the percentages of LT RLR collision scenarios. Additionally, the drivers who were older than 50 years, distracted, and had a limited view were more likely to be involved in LT RLR accidents. Furthermore, the speeding drivers were more likely to be involved in GS RLR accidents. These findings could give a comprehensive understanding of RLR crash features and propensities for each RLR crash type.

摘要

闯红灯(RLR)已被确定为信号交叉口碰撞事故的主要原因之一。为了减少 RLR 碰撞事故,首先需要更好地了解 RLR 行为和碰撞事故。在这项研究中,从通用估计系统(GES)中提取了三种 RLR 碰撞类型,包括直驶(GS)RLR 车辆与直驶非 RLR 车辆碰撞、直驶 RLR 车辆与左转弯(LT)非 RLR 车辆碰撞以及左转弯 RLR 车辆与直驶非 RLR 车辆碰撞。然后,比较了每种碰撞类型场景中的碰撞特征,并对 GS RLR 和 LT RLR 进行了风险分析。结果表明,对于 GS RLR 驾驶员,限速对 GS RLR 碰撞场景的百分比影响最大。对于 LT RLR 驾驶员,车道数量对 LT RLR 碰撞场景的百分比影响最大。此外,年龄大于 50 岁、注意力不集中和视野有限的驾驶员更容易发生 LT RLR 事故。此外,超速行驶的驾驶员更容易发生 GS RLR 事故。这些发现可以全面了解每种 RLR 碰撞类型的 RLR 碰撞特征和倾向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2595/6025625/b5dfe5f818b0/ijerph-15-01290-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验