Connected Vehicle System Design for Signalized Arterials

It can be expected that connected vehicles (CVs) systems will soon go beyond testbed and appear in real-world applications. To accommodate the large number of connected vehicles on the roads, arterial signal control systems would require supports of various components such as roadside infrastructures, vehicle on-board devices, effective communication network, and optimal control algorithms. In this project, the research team aims to establish a real-time and adaptive system for supporting the operations of CV-based signalized arterial. One unique feature of this project is the team would classify CVs into three types, i.e., Type-I CVs, Type-II CVs, and connected automated vehicles (CAVs). Then the proposed system will prioritize the communication needs of different types of CVs and best utilize the capacity of the communication channels. The CV data sensing and acquisition protocol, built on a newly developed concept of Age of Information (AoI), will support the feedback control loop to adjust signal timing plans. The multidisciplinary research team, including researchers from transportation engineering and electrical engineering, will carry out the project tasks along four directions that capitalized on the PIs’ expertise: (1) Data collection and communication, in which the proposed system will be based on the AoI, prioritize the data needs of different types of CVs, and optimize the communication network; (2) Traffic Signal Control, which will concurrently optimize real-time traffic signal plans and vehicle trajectories; (3) Multimodal system design, which will integrate Transit Signal Priority (TSP) for accommodating connected buses; (4) System evaluation, where the research team will work with Utah Department of Transportation (UDOT) for testing the proposed system under their current implementation framework on Redwood Rd., Salt Lake City. This project will address the urgent needs in CV system designs and offer control foundations to support the operations of urban signalized arterial under CV environment.

• Record URL:
  https://nitc.trec.pdx.edu/research/project/1235

Language

• English

Project

• Status: Completed
• Funding: $198551
• Contract Numbers:

  NITC 1235

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  University of Utah, Salt Lake City

  College of Engineering, Department of Civil Engineering
  Salt Lake City, UT  United States  84112-0561

  Utah Department of Transportation

  4501 South 2700 West
  Project Development
  Salt Lake City, UT  United States  84114-8380
• Managing Organizations:

  TREC at Portland State University

  1900 SW Fourth Ave, Suite 175
  P.O. Box 751
  Portland, Oregon  United States  97201
• Project Managers:

  Hagedorn, Hau

• Performing Organizations:

  University of Utah, Salt Lake City

  College of Engineering, Department of Civil Engineering
  Salt Lake City, UT  United States  84112-0561
• Principal Investigators:

  Yang, Xianfeng

  Ji, Mingyue

• Start Date: 20180901
• Expected Completion Date: 20191130
• Actual Completion Date: 20200401
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Communication systems; Connected vehicles; Data collection; Multimodal transportation; Optimization; Signalized intersections; Traffic signal control systems; Vehicle trajectories
• Geographic Terms: Utah
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01674845
• Record Type: Research project
• Source Agency: National Institute for Transportation and Communities
• Contract Numbers: NITC 1235
• Files: UTC, RiP
• Created Date: Jul 5 2018 1:44PM