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

Project Abstract

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.

Universities and Sponsoring Organizations Involved

Virginia Tech

Morgan State University

U.S. Department of Transportation Office of the Secretary-Research

Principal Investigators

Hao Chen (VT),; Hesham Rakha (VT),, and Mansoureh Jeihani (MSU),

Funding Sources and Amounts

USDOT: $135,000 (Federal), Virginia Tech: $50,000 (Match), Morgan State University: $22,780 (Match)

Start Date

October 1, 2019

Expected Completion Date

Sept. 30, 2020

Expected Research Outcomes

The proposed research effort will be the first study to develop an advanced Eco-CACC system for HEVs with the consideration of multi-intersections. Moreover, the proposed HEV energy consumption model will be the first general energy model for HEVs that can be easily calibrated and implemented into real-time transportations applications. In addition, the tests in microscopic simulation software and driving simulator will be beneficial for government stakeholders and industry companies to estimate the benefits of implementing the proposed system.

Expected Benefits of Equity Impacts and Benefits of Implementation

The proposed HEV Eco-CACC system will be the first eco-driving system that can be used for HEVs with or without automated control system. Considering that currently most vehicles on the road do not have automated control, the proposed manual HEV Eco-CACC system ensures that non-automated-control vehicles can proceed through signalized intersections producing savings om travel time, energy and emissions. While the automated HEV Eco-CACC system can help automated vehicles to achieve even more savings since they can follow the algorithm recommendations more precisely compared to human drivers.

Subject Areas

Connected and Automated Vehicle, Eco-driving, Energy Modeling, Hybrid Electric Vehicle, Multiple Signalized Intersections, Microscopic Traffic Simulation, Driving Simulator