2014•Transportation Research Record Journal of the Transportation Research BoardRequires access

Macroscopic Fundamental Diagram for Brisbane, Australia

Takahiro Tsubota, Ashish Bhaskar, Edward Chung

Open publisher page 69 citations

Abstract

The macroscopic fundamental diagram (MFD) relates space mean density and flow. The existence with dynamic features was confirmed in a congested urban network in downtown Yokohama, Japan, with a real data set. Because the MFD represents areawide network traffic performance, studies have reported on perimeter control strategies and areawide traffic state estimated with the MFD concept. However, few reports of real-world examples from signalized arterial networks are available. Data are fused from multiple sources (Bluetooth devices, loop detectors, and signal phase timing). A framework is presented for the development of the MFD for Brisbane, Queensland, Australia. Existence of the MFD in the Brisbane arterial network is confirmed. MFDs (from the entire network and several subregions) are evaluated to determine the spatial partitioning to represent network performance. The findings confirm the usefulness of appropriate network partitioning for traffic monitoring and incident detection. Future research directions are addressed.

About this research paper

What this paper is about

The macroscopic fundamental diagram (MFD) relates space mean density and flow. The existence with dynamic features was confirmed in a congested urban network in downtown Yokohama, Japan, with a real data set. Because the MFD represents areawide network traffic performance, studies have reported on perimeter control strategies and areawide traffic state estimated with the MFD concept. However, few reports of real-world examples from signalized arterial networks are available. Data are fused from multiple sources (Bluetooth devices, loop detectors, and signal phase timing). A framework is presented for the development of the MFD for Brisbane, Queensland, Australia. Existence of the MFD in the Brisbane arterial network is confirmed. MFDs (from the entire network and several subregions) are evaluated to determine the spatial partitioning to represent network performance. The findings confirm the usefulness of appropriate network partitioning for traffic monitoring and incident detection. Future research directions are addressed.

Why it matters

OpenAlex reports 69 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The macroscopic fundamental diagram (MFD) relates space mean density and flow. The existence with dynamic features was confirmed in a congested urban network in downtown Yokohama, Japan, with a real data set. Because the MFD represents areawide network traffic performance, studies have reported on perimeter control strategies and areawide traffic state estimated with the MFD concept. However, few reports of real-world examples from signalized arterial networks are available. Data are fused from multiple sources (Bluetooth devices, loop detectors, and signal phase timing). A framework is presented for the development of the MFD for Brisbane, Queensland, Australia. Existence of the MFD in the Brisbane arterial network is confirmed. MFDs (from the entire network and several subregions) are evaluated to determine the spatial partitioning to represent network performance. The findings confirm the usefulness of appropriate network partitioning for traffic monitoring and incident detection. Future research directions are addressed.

Key concepts: Bluetooth, Downtown, Diagram, Traffic flow (computer networking), Computer science, Flow network, Set (abstract data type), SIGNAL (programming language)

Related papers

Back to paper searchBrowse research topicsOriginal source
Macroscopic Fundamental Diagram for Brisbane, Australia — Research Paper | ScholarLens