ABSTRACT

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 analyse 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.

摘要

本文概述了使用宏观基本图（MFD）进行交通流建模和分析的最新发展及其应用。在最近的文献中，已经提出并研究了各种聚合的流量模型来分析流量，同时提高网络效率。这些研究中有许多集中在基于MFD的模型上，该模型描述了运输网络的总流量和总密度之间的关系。MFD的分析是基于从传感器和GPS收集的实验数据以及仿真模型进行的。发现有几个因素会影响MFD的存在和形状，包括流量需求，网络和信号设置以及路由选择。由于MFD可以很好地表达大型城市交通网络的交通动态，它已被广泛应用于交通研究，包括开发全网控制策略，网络分区，性能评估和道路定价。这项工作还提出了基于MFD的流量建模和应用程序的未来扩展和研究方向。