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原文传递 Estimating Fundamental Diagram for Signalized Intersections Using Connected Vehicle Data
题名: Estimating Fundamental Diagram for Signalized Intersections Using Connected Vehicle Data
正文语种: eng
作者: Guo, Xiaoyu;Zhang, Yunlong
作者单位: Texas A&M Transportat Inst Syst Reliabil Div Connected Infrastruct Grp Dallas TX 75251 USA;Texas A&M Univ Zachry Dept Civil & Environm Engn College Stn TX 77843 USA
摘要: The fundamental diagram (FD) is to describe the macroscopic relationships between traffic flow and density. It is widely used in the traffic analysis for freeways and urban streets.(1-3) In previous studies, the aggregated empirical measurements from detectors are commonly applied to fit the diagram.(4, 5) However, this detector-based method has data quality issues related to detector installation or the deterioration of the pavement, and a methodology issue because the detectors at fixed locations cannot fully capture vehicle dynamics.(6) In this study, a set of connected vehicles (CV) trajectory data is considered to construct a FD (i.e., flow-density relation) at a signalized intersection based on the traffic states.
出版年: 2021
期刊名称: ITE journal
卷: 91
期: 7
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