基于驾驶风格的心理场效应分析和跟车行为建模

IF 1.5 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Hui Song, Dayi Qu, Chunyan Hu, Tao Wang, Liyuan Ji
{"title":"基于驾驶风格的心理场效应分析和跟车行为建模","authors":"Hui Song, Dayi Qu, Chunyan Hu, Tao Wang, Liyuan Ji","doi":"10.1007/s12239-024-00079-7","DOIUrl":null,"url":null,"abstract":"<p>To analyze the car-following behavior accurately, this paper takes the drivers’ psychological factors into the consideration based on the psychological field theory. The vehicle dynamics indexes are extracted through vehicle history trajectories and the driving styles are clustered by k-means methods. After that the perception coefficient, reaction coefficient, and driving style correction coefficient are obtained and integrated into the psychological field for characterizing the drivers’ driving styles. The psychological car-following model which considers the driving styles is built based on the Full Velocity Difference (FVD) model. Finally, the model is validated under the MATLAB/Simulink environment and the result reveals that the psychological field car-following model achieves higher accuracy of characterizing car-following behavior compared with the FVD model and the interaction potential model.</p>","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":"7 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Psychological Field Effect Analysis and Car-Following Behavior Modeling Based on Driving Style\",\"authors\":\"Hui Song, Dayi Qu, Chunyan Hu, Tao Wang, Liyuan Ji\",\"doi\":\"10.1007/s12239-024-00079-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>To analyze the car-following behavior accurately, this paper takes the drivers’ psychological factors into the consideration based on the psychological field theory. The vehicle dynamics indexes are extracted through vehicle history trajectories and the driving styles are clustered by k-means methods. After that the perception coefficient, reaction coefficient, and driving style correction coefficient are obtained and integrated into the psychological field for characterizing the drivers’ driving styles. The psychological car-following model which considers the driving styles is built based on the Full Velocity Difference (FVD) model. Finally, the model is validated under the MATLAB/Simulink environment and the result reveals that the psychological field car-following model achieves higher accuracy of characterizing car-following behavior compared with the FVD model and the interaction potential model.</p>\",\"PeriodicalId\":50338,\"journal\":{\"name\":\"International Journal of Automotive Technology\",\"volume\":\"7 1\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Automotive Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s12239-024-00079-7\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Automotive Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12239-024-00079-7","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

摘要

为了准确分析跟车行为,本文以心理场理论为基础,考虑了驾驶员的心理因素。通过车辆历史轨迹提取车辆动态指标,并采用 K-means 方法对驾驶风格进行聚类。然后得到感知系数、反应系数和驾驶风格修正系数,并将其整合到心理场中以表征驾驶员的驾驶风格。在全速度差(FVD)模型的基础上,建立了考虑驾驶风格的心理跟车模型。最后,在 MATLAB/Simulink 环境下对该模型进行了验证,结果表明,与 FVD 模型和交互电势模型相比,心理场汽车跟随模型在表征汽车跟随行为方面具有更高的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Psychological Field Effect Analysis and Car-Following Behavior Modeling Based on Driving Style

Psychological Field Effect Analysis and Car-Following Behavior Modeling Based on Driving Style

To analyze the car-following behavior accurately, this paper takes the drivers’ psychological factors into the consideration based on the psychological field theory. The vehicle dynamics indexes are extracted through vehicle history trajectories and the driving styles are clustered by k-means methods. After that the perception coefficient, reaction coefficient, and driving style correction coefficient are obtained and integrated into the psychological field for characterizing the drivers’ driving styles. The psychological car-following model which considers the driving styles is built based on the Full Velocity Difference (FVD) model. Finally, the model is validated under the MATLAB/Simulink environment and the result reveals that the psychological field car-following model achieves higher accuracy of characterizing car-following behavior compared with the FVD model and the interaction potential model.

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
International Journal of Automotive Technology
International Journal of Automotive Technology 工程技术-工程:机械
CiteScore
3.10
自引率
12.50%
发文量
129
审稿时长
6 months
期刊介绍: The International Journal of Automotive Technology has as its objective the publication and dissemination of original research in all fields of AUTOMOTIVE TECHNOLOGY, SCIENCE and ENGINEERING. It fosters thus the exchange of ideas among researchers in different parts of the world and also among researchers who emphasize different aspects of the foundations and applications of the field. Standing as it does at the cross-roads of Physics, Chemistry, Mechanics, Engineering Design and Materials Sciences, AUTOMOTIVE TECHNOLOGY is experiencing considerable growth as a result of recent technological advances. The Journal, by providing an international medium of communication, is encouraging this growth and is encompassing all aspects of the field from thermal engineering, flow analysis, structural analysis, modal analysis, control, vehicular electronics, mechatronis, electro-mechanical engineering, optimum design methods, ITS, and recycling. Interest extends from the basic science to technology applications with analytical, experimental and numerical studies. The emphasis is placed on contributions that appear to be of permanent interest to research workers and engineers in the field. If furthering knowledge in the area of principal concern of the Journal, papers of primary interest to the innovative disciplines of AUTOMOTIVE TECHNOLOGY, SCIENCE and ENGINEERING may be published. Papers that are merely illustrations of established principles and procedures, even though possibly containing new numerical or experimental data, will generally not be published. When outstanding advances are made in existing areas or when new areas have been developed to a definitive stage, special review articles will be considered by the editors. No length limitations for contributions are set, but only concisely written papers are published. Brief articles are considered on the basis of technical merit.
×
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