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Recent developments in traffic flow modelling using macroscopic fundamental diagram

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  • Lele Zhang
  • Zhongqi Yuan
  • Li Yang
  • Zhiyuan Liu

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 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.

Suggested Citation

  • Lele Zhang & Zhongqi Yuan & Li Yang & Zhiyuan Liu, 2020. "Recent developments in traffic flow modelling using macroscopic fundamental diagram," Transport Reviews, Taylor & Francis Journals, vol. 40(6), pages 689-710, November.
    • Handle: RePEc:taf:transr:v:40:y:2020:i:6:p:689-710
    DOI: 10.1080/01441647.2020.1738588
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    Cited by:

    1. Gupta, Namrata & Patil, Gopal R. & Vu, Hai L., 2023. "Simple abstract models to study stability of urban networks with decentralized signal control," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 93-116.

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