Macroscopic Fundamental Diagram Approach to Traffic Flow with Autonomous/Connected Vehicles

The introduction of connected and autonomous vehicles (CV/AV) will bring changes to the highway driving environment. Connected and autonomous vehicle technology provides real-time information about the surrounding traffic condition and the traffic management center’s decisions. Setting the parameters of VISSIM driver behavior model by calling the VISSIM Component Object Model (COM) in Python/Matlab, the project will build an AV/CV simulation framework to conduct a pilot study of the features, and management and control strategies for traffic flows with AV/CV vehicles. Based on this simulation framework, the macroscopic fundamental diagrams (MFDs) of an AV/CV traffic network will be developed and analyzed, and compared with the MFDs in a traditional traffic circumstance. Using MFD as an evaluation index, mathematical models will be built to optimize network design, measure the network vulnerability, and evaluate the effectiveness of traffic management and control strategies for AV/CV and traditional traffic flows. Also, the perimeter control in an AV/CV network will be investigated.

• Record URL:
  https://stride.ce.ufl.edu/wp-content/uploads/2018/08/O2-Abstract.pdf
• 

Project

• Status: Active
• Funding: $57500
• 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:

  Jackson State University, Jackson

  Department of Civil and Environmental Engineering
  Jackson, MS  United States  39217-0168
• Principal Investigators:

  Whalin, Robert

• Start Date: 20180901
• Expected Completion Date: 20191230
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Connected vehicles; Intelligent vehicles; Macroscopic traffic flow; Mathematical models; Optimization; Real time information; Traffic control; Traffic simulation
• Identifier Terms: VISSIM (Computer model)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01680747
• Record Type: Research project
• Source Agency: Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
• Contract Numbers: 69A3551747104
• Files: UTC, RiP
• Created Date: Sep 17 2018 3:14PM