Macroscopic Fundamental Diagram Estimation using Loop-Detector Data (Project I6)

This project aims to examine the empirical estimation approach of the Macroscopic Fundamental Diagram (MFD) using loop detector data. The MFD give the network-wide relationship between average traffic variables, and has become an invaluable tool for congestion management on large transportation networks. However, deriving the MFD using the empirical data is challenging since (1) the required loop detector data is not available in most of the cities, (2) in the networks with available loop detector data, the loop detectors cover only a fraction of streets in the network, and (3) the data coming from various loop detectors is prone to bias and inaccuracy, which makes the data cleaning and processing cumbersome. This project will rely on the recently published loop detector data from more than 40 cities over the globe and simulation experiments to investigate three main impacting factors on the network MFD: (1) the distribution of the loop detectors over the network, (2) the distribution of loop detectors on the links, and (3) the extent of the coverage area of the loop detectors and its relationship with the accuracy of the resulting MFD. As a result of this project, we aim to develop a robust method to accurately estimate the network MFDs considering the aforementioned impacting factors.

Language

• English

Project

• Status: Active
• Funding: $101368
• Contract Numbers:

  69A3551747104

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)

  University of Florida
  365 Weil Hall
  Gainesville, FL  United States  32611
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  Georgia Institute of Technology

  275 Ferst Drive NW
  Atlanta, GA  United States  30332-0150
• Principal Investigators:

  Laval, Jorge

• Start Date: 20220215
• Expected Completion Date: 20230501
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Congestion management systems; Loop detectors; Macroscopic traffic flow
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01854181
• Record Type: Research project
• Source Agency: Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
• Contract Numbers: 69A3551747104
• Files: UTC, RIP
• Created Date: Aug 10 2022 2:16PM