Developing and Testing an Advanced Hybrid Electric Vehicle Eco-Cooperative Adaptive Cruise Control System at Multiple Signalized Intersections

This research proposes to develop an advanced Eco-Cooperative Adaptive Cruise Control System (Eco-CACC) for hybrid electric vehicles (HEVs) to pass signalized intersections with energy-optimized speed profiles, with the consideration of impacts by multiple signalized intersections. The proposed research extends the Eco-CACC system previously developed by the research team on conventional internal combustion engine (ICE) vehicles to HEVs. The proposed HEV Eco-CACC system will include two modes - automated and manual modes for vehicles with or without an automated control system. The proposed research will start by developing a general HEV energy consumption model which can be easily calibrated and used in the Eco-CACC system to compute energy consumption by using instantaneous speed data. By using the proposed HEV model, the team will develop a base HEV Eco-CACC system by considering a single signalized intersection. Thereafter, an advanced HEV Eco-CACC system will be developed by considering the impacts of multi-intersections. The automated mode of HEV Eco-CACC system will be implemented into the microscopic traffic simulation software to validate the system-wide impacts of traffic mobility, energy consumption and emission under different levels of market penetration rates, traffic conditions, signal timings and vehicle types. Lastly, the manual mode HEV Eco-CACC will be tested by participants using driving simulators at MSU to compare the proposed Eco-CACC system with two other scenarios – uninformed drive and informed drive provided with signal time counting down information. It is anticipated that the proposed system will improve the mobility of HEVs by reducing delays, energy consumption and emissions while traversing signalized intersections.

• Record URL:
  https://www.morgan.edu/school_of_engineering/research_centers/urban_mobility_and_equity_center/research/completed_research/hev_eco-cacc_study.html

Language

• English

Project

• Status: Completed
• Funding: $135000
• Contract Numbers:

  Grant No. 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

• Start Date: 20191001
• Expected Completion Date: 20200930
• Actual Completion Date: 20201000
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Adaptive control; Cruise control; Driving simulators; Ecodriving; Electric vehicles; Energy consumption; Pollutants; Signalized intersections; Traffic simulation; Validation
• Subject Areas: Energy; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01712664
• Record Type: Research project
• Source Agency: Urban Mobility & Equity Center
• Contract Numbers: Grant No. 69A43551747123
• Files: UTC, RiP
• Created Date: Jul 18 2019 12:15PM