Evaluation of Advanced Vehicle & Communication Technologies through Traffic Microsimulation (Project I5)

Recent advances in connected and autonomous vehicle (CAV) technology have created an opportunity to employ data and sensor-driven strategies to improve traffic operations on highways. Widespread adoption of these technologies requires the development of algorithms and procedures to fully take advantage of their potential and the data made available by them. Connectivity between vehicles and infrastructure provides a tremendous amount of data that can be used to feed real time adaptive signal control as well as long term traffic management and planning strategies. The goal of this project is to develop and enhance traffic operational and environmental evaluation procedures considering the presence of connected and autonomous vehicles within a typical urban traffic stream. Proper evaluation of new control strategies requires accurate simulation of new technologies. This project will build on a previously funded STRIDE project where a simulation extension was built using the microsimulator VISSIM to accurately represent vehicle autonomy and connectivity, and their operational and environmental effects. In this project the research team will expand the functionality of the extension in order to use a real-time optimization tool (RIO) previously developed with funding from NSF. RIO jointly optimizes vehicle trajectories and signal control by taking advantage of CAV technologies. This optimization algorithm will be implemented in a microsimulation environment, and its operational and environmental effects will be assessed. Further refinements will also be made to the code developed in the previous project. In addition to VISSIM, implementation will also be made in the open source simulator SUMO. The research team will also develop training and education modules for modeling CAV.

• Record URL:
  https://stride.ce.ufl.edu/stride-project-i5/

Language

• English

Project

• Status: Active
• Funding: $500292
• 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:

  University of Florida Transportation Institute

  P.O. Box 116580
  Gainesville, FL  United States  32611

  Georgia Institute of Technology

  275 Ferst Drive NW
  Atlanta, GA  United States  30332-0150

  Auburn University

  282 Wilmore Laboratories
  Auburn, AL  United States  36849-5341

  Tennessee Tech University

  Department of Civil and Environmental Engineering
  1020 Stadium Drive Box.5015
  Cookeville, TN  United States  38505
• Principal Investigators:

  Manjunatha, Pruthvi

  Hunter, Michael

  Zhou, Huaguo

  Noei, Shirin

• Start Date: 20210801
• Expected Completion Date: 20230331
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Microsimulation; Mobile communication systems; Stopped time delays; Traffic congestion
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01777878
• Record Type: Research project
• Source Agency: Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
• Contract Numbers: 69A3551747104
• Files: UTC, RIP
• Created Date: Jul 27 2021 9:19AM