Optimum Connected Vehicle Speed Control on Signalized Roadways in Mixed Flow

This research aims to develop an optimal speed control strategy for connected vehicles (CVs) considering mixed engine types including conventional internal combustion vehicles (ICEVs), battery electric vehicles (BEVs) and hybrid electric vehicles (HEVs), in the vicinity of signalized intersections. According to the findings of previous studies, the optimal speed trajectories for vehicles with different engine types are very different under certain conditions, which may create different speeds of traffic resulting in shockwaves increasing the crash risk. Therefore, the team will use multi-agent modeling to develop a general speed control strategy, which calculates a compromised solution across different engine types but optimizes the mixed traffic flow in the entire network. Thereafter, the team will use the control strategy to develop CV automated and manual control algorithms. The automated controller will be implemented and tested in a microscopic traffic simulation software to quantify the system-wide impacts on traffic mobility, vehicle energy consumption and emissions for different combinations of vehicle types and various traffic conditions. In addition, the proposed algorithm for mixed traffic conditions will be compared with the algorithms previously developed by the team for each individual vehicle type so that they can investigate the performances of system-optimized control versus individual-optimized control in simulated traffic networks. Lastly, the manual mode controller will be tested by participants using driving simulators at MSU by following simple driving instructions (such as speed up, down, maintain, either using visual color or audio alerts). It is anticipated that the proposed controllers will improve the mobility of arterial traffic by reducing delays, energy consumption and vehicle emissions.

Language

• English

Project

• Status: Active
• Funding: $120000
• Contract Numbers:

  69A43551747123

• 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:

  Urban Mobility & Equity Center

  Morgan State University
  Baltimore, MD  United States  21251
• Performing Organizations:

  Virginia Polytechnic Institute and State University, Blacksburg

  Virginia Tech Transportation Institute
  3500 Transportation Research Plaza
  Blacksburg, VA  United States  24061

  Morgan State University

  1700 E. Cold Spring Lane
  Baltimore, MD 21251, Maryland  United States  21251
• Principal Investigators:

  Chen, Hao

  Rakha, Hesham

  Jeihani, Mansoureh

  Sadeghvaziri, Eazaz

• Start Date: 20211001
• Expected Completion Date: 20220930
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Algorithms; Connected vehicles; Driving simulators; Electric vehicles; Optimization; Signalized intersections; Speed control; Traffic control; Traffic simulation; Vehicle mix
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01776767
• Record Type: Research project
• Source Agency: Urban Mobility & Equity Center
• Contract Numbers: 69A43551747123
• Files: UTC, RIP
• Created Date: Jul 20 2021 1:17PM