Improved Time-to-collision Considering Vehicle Speed Adaptation based on Trajectory Data

Fuhai Wang, Zijian Wang, Xinyi Li, Xinpeng Yao, Weichao Hu, Ting Fu
{"title":"Improved Time-to-collision Considering Vehicle Speed Adaptation based on Trajectory Data","authors":"Fuhai Wang, Zijian Wang, Xinyi Li, Xinpeng Yao, Weichao Hu, Ting Fu","doi":"10.1109/ICTIS54573.2021.9798583","DOIUrl":null,"url":null,"abstract":"For vehicle-vehicle conflicts, existing safety surrogate analyses are mainly based on the assumption of constant velocity. However, this assumption ignores the maneuver adaptations in the process of vehicle-vehicle interaction. In order to assess the risk during vehicle-vehicle interaction in a more accurate way, this paper proposes an improved TTC measure. The new TTC measure takes into account the impact of vehicle interactions by considering speed adaptations by the leading and following vehicle. The speed distribution was extracted from the Shanghai Naturalistic Driving Study data to calibrate the new TTC measure. A case study is then conducted to test the new safety measure. The result shows that the improved TTC presents different results from the traditional TTC measure illustrating the new measure potentially describe the crash risk in car-following conditions in a more detailed and precise way. The study will provide new ideas and methods in a more accurate and robust way for traffic conflict analysis.","PeriodicalId":253824,"journal":{"name":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTIS54573.2021.9798583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

For vehicle-vehicle conflicts, existing safety surrogate analyses are mainly based on the assumption of constant velocity. However, this assumption ignores the maneuver adaptations in the process of vehicle-vehicle interaction. In order to assess the risk during vehicle-vehicle interaction in a more accurate way, this paper proposes an improved TTC measure. The new TTC measure takes into account the impact of vehicle interactions by considering speed adaptations by the leading and following vehicle. The speed distribution was extracted from the Shanghai Naturalistic Driving Study data to calibrate the new TTC measure. A case study is then conducted to test the new safety measure. The result shows that the improved TTC presents different results from the traditional TTC measure illustrating the new measure potentially describe the crash risk in car-following conditions in a more detailed and precise way. The study will provide new ideas and methods in a more accurate and robust way for traffic conflict analysis.
基于轨迹数据的考虑车速自适应的改进碰撞时间
对于车与车之间的碰撞,现有的安全替代分析主要基于等速假设。然而,这种假设忽略了车-车交互过程中的机动适应。为了更准确地评估车-车交互过程中的风险,本文提出了一种改进的TTC度量方法。新的TTC措施通过考虑前车和后车的速度调整来考虑车辆相互作用的影响。从上海自然驾驶研究数据中提取速度分布来校准新的TTC测量。然后进行了一个案例研究,以测试新的安全措施。结果表明,改进后的TTC测量结果与传统的TTC测量结果有所不同,说明改进后的TTC测量方法可以更详细、更精确地描述汽车跟随工况下的碰撞风险。该研究将为交通冲突分析提供新的思路和方法,使之更加准确和稳健。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信