图表
微观交通流模型
交通生成模型
流量(计算机网络)
运输工程
工作(物理)
基于Kerner三相理论的交通拥堵重构
运筹学
计算机科学
工程类
模拟
交通拥挤
实时计算
计算机网络
数据库
机械工程
作者
Lele Zhang,Zhongqi Yuan,Yang Li,Zhiyuan Liu
标识
DOI:10.1080/01441647.2020.1738588
摘要
This paper presents an overview of the recent developments in traffic flow modelling and analysis using macroscopic fundamental diagram (MFD) as well as their applications. In recent literature, various aggregated traffic models have been proposed and studied to analyze traffic flow while enhancing network efficiency. Many of these studies have focused on models based on MFD that describes the relationship between aggregated flow and aggregated density of transport networks. The analysis of MFD has been carried out based on experimental data collected from sensors and GPS, as well as simulation models. Several factors are found to influence the existence and shape of MFD, including traffic demand, network and signal settings, and route choices. As MFD can well express the traffic dynamics of large urban transport networks, it has been extensively applied to traffic studies, including the development of network-wide control strategies, network partitioning, performance evaluation, and road pricing. This work also presents future extensions and research directions for MFD-based traffic modelling and applications.
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