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原文传递 Spatial-temporal traffic congestion identification and correlation extraction using floating car data
题名: Spatial-temporal traffic congestion identification and correlation extraction using floating car data
正文语种: eng
作者: Chen, Yanyan;Chen, Cong;Wu, Qiong;Ma, Jianming;Zhang, Guohui;Milton, John
作者单位: Beijing Univ Technol Beijing Transportat Engn Key Lab Beijing Peoples R China;Univ S Florida Ctr Urban Transportat Res Tampa FL 33620 USA;Univ Hawaii Manoa Dept Civil & Environm Engn Honolulu HI 96822 USA;Texas Dept Transportat Traff Operat Div
关键词: floating car data;speed performance index (SPI);traffic congestion distribution;traffic status
摘要: Traffic congestion induces significant economic loss each year, and identifying traffic congestion patterns is necessary for better traffic control and management. Floating car data (FCD) provides a cost-effective alternative for assessing traffic status
出版年: 2021
期刊名称: Journal of Intelligent Transportation Systems
卷: 25
期: 1/6
页码: 263-280
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