A trajectory data-driven approach for traffic risk prediction: incorporating variable interactions and pre-screening

IF 2.9 3区 工程技术 Q2 ENVIRONMENTAL STUDIES
Dan Wu, Jaeyoung Lee, Ye Li
{"title":"A trajectory data-driven approach for traffic risk prediction: incorporating variable interactions and pre-screening","authors":"Dan Wu, Jaeyoung Lee, Ye Li","doi":"10.1080/12265934.2024.2346166","DOIUrl":null,"url":null,"abstract":"Although historical crash data and trajectory data have been widely applied to crash and risk predictions, both types of data have their own limitations. As a solution, this study investigates the ...","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":"24 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Urban Sciences","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/12265934.2024.2346166","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0

Abstract

Although historical crash data and trajectory data have been widely applied to crash and risk predictions, both types of data have their own limitations. As a solution, this study investigates the ...
以轨迹数据为驱动的交通风险预测方法:纳入变量相互作用和预筛选
尽管历史碰撞数据和轨迹数据已被广泛应用于碰撞和风险预测,但这两类数据都有各自的局限性。作为一种解决方案,本研究调查了...
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
CiteScore
5.90
自引率
6.90%
发文量
36
×
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