Combining multiple traffic data sources to estimate Macroscopic Fundamental Diagram in large-scale urban networks

Since the concept of the Macroscopic Fundamental Diagram (MDF) has been introduced, many studies have investigated the existence and characteristics of the MFD using empirical and simulation data. MFD is a powerful and efficient model for monitoring and managing large-scale urban networks. Nevertheless, estimating the MFD for large-scale networks faces important challenges; monitoring resources are often limited in such networks. Furthermore, common sensors that are used to collect traffic data (i.e., loop detectors and probe vehicles), have limitations of their own. Our aim in this study is to develop a data fusion method that takes advantage of both loop detectors and probe vehicles, which may or may not be homogeneously distributed in the network. This study builds on the premise that full-scale traffic data, albeit approximate, is available for the network. In this study, in addition to loop detector measurements from the critical links, we assume that real-time probe vehicle data with an unknown penetration rate is available. These two data sets are the inputs to our fusion algorithm.

• Record URL:
  • https://australasiantransportresearchforum.org.au/papers/2021
• Authors:
  • Saffari, E
  • Yildirimoglu, M
  • Hickman, M
• Conference:
  • Australasian Transport Research Forum (ATRF), 42nd, 2021, Brisbane, Queensland, Australia
• Publication Date: 2021-12

Media Info

• Pagination: 5p
• Monograph Title: Australasian Transport Research Forum, 8-10 December 2021, Brisbane, Queensland

Subject/Index Terms

• TRT Terms: Data collection; Highway traffic control; Loop detectors; Mathematical models; Surveillance; Traffic flow; Traffic surveillance; Types of roads by network; Vehicle detectors; Vehicles
• Uncontrolled Terms: Road networks
• Geographic Terms: Spain
• ATRI Terms: Data collection; Loop detector; Modelling; Road network; Traffic management; Traffic monitoring; Vehicle detector
• ITRD Terms: 6471: Analysis (math)
• Subject Areas: Vehicles and Equipment; I71: Traffic Theory;

Filing Info

• Accession Number: 01892439
• Record Type: Publication
• Source Agency: ARRB Group Limited
• Files: ITRD, ATRI
• Created Date: Sep 6 2023 2:05PM