Xunjia Zheng, Hui Li, Hui Liu, Xing Chen, Tianhong Luo
{"title":"A modeling method of driving risk assessment based on vehicle trajectory prediction","authors":"Xunjia Zheng, Hui Li, Hui Liu, Xing Chen, Tianhong Luo","doi":"10.1109/DTPI55838.2022.9998885","DOIUrl":null,"url":null,"abstract":"This paper has presented a two-dimensional driving risk modeling method based on the field theory and proposed a driving risk modeling scheme based on trajectory prediction. This method is based on the artificial potential field theory, vehicle kinematics, and dynamics. This study first proposes the basic concept of driving risk modeling and establishes a basic model of driving risk. Then we convert the Cartesian coordinate system according to the road structure curve, so that the risk field is distributed along the road curve, and realize the prediction of driving risk according to the road structure. Finally, we convert the Cartesian coordinate system to the Frenet coordinate system to quantify the driving risk according to any vehicle trajectory prediction.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTPI55838.2022.9998885","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

提出了一种基于场论的二维驾驶风险建模方法,提出了一种基于轨迹预测的驾驶风险建模方案。该方法基于人工势场理论、车辆运动学和动力学。本研究首先提出了驾驶风险建模的基本概念,建立了驾驶风险的基本模型。然后根据道路结构曲线变换笛卡尔坐标系,使风险场沿道路曲线分布,实现根据道路结构对驾驶风险的预测。最后,我们将笛卡尔坐标系转换为弗莱内坐标系,根据任何车辆轨迹预测来量化驾驶风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A modeling method of driving risk assessment based on vehicle trajectory prediction
This paper has presented a two-dimensional driving risk modeling method based on the field theory and proposed a driving risk modeling scheme based on trajectory prediction. This method is based on the artificial potential field theory, vehicle kinematics, and dynamics. This study first proposes the basic concept of driving risk modeling and establishes a basic model of driving risk. Then we convert the Cartesian coordinate system according to the road structure curve, so that the risk field is distributed along the road curve, and realize the prediction of driving risk according to the road structure. Finally, we convert the Cartesian coordinate system to the Frenet coordinate system to quantify the driving risk according to any vehicle trajectory prediction.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信