Estimating Fundamental Diagram for Signalized Intersections Using Connected Vehicle Data

被引:0
作者
Guo, Xiaoyu [1 ]
Zhang, Yunlong [2 ]
机构
[1] Texas A&M Transportat Inst, Syst Reliabil Div, Connected Infrastruct Grp, Dallas, TX 75251 USA
[2] Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 77843 USA
来源
ITE JOURNAL-INSTITUTE OF TRANSPORTATION ENGINEERS | 2021年 / 91卷 / 07期
关键词
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暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
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.
引用
收藏
页码:42 / 48
页数:7
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