Developing and Testing an ECO-Cooperative Adaptive Cruise Control System for Buses
Studies over the past decade have shown that eco-driving systems that provide speed advisory to drivers/vehicles using data received via vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communications can help improve traffic mobility and reduce vehicle energy and emission levels. The proposed research extends the Eco-Cooperative Adaptive Cruise Control (Eco-CACC) system previously developed by the research team on light duty vehicles (LDVs) to heavy duty vehicles (HDVs) (diesel and hybrid electric buses). The proposed research will start by developing an energy/fuel model for hybrid electric buses and calibrating these models to various bus types using field data collected by Blacksburg Transit (BT). Subsequently, the calibrated diesel and hybrid bus energy/fuel models and the corresponding vehicle dynamics models will be used to develop an Eco-CACC system for manual and automated modes of control of buses. Thereafter, the manual Eco-CACC mode will be tested by participants using a driving simulator at MSU to compare the Eco-CACC system performance with two other scenarios, namely: an uninformed drive and an informed drive provided with traffic signal count down information. In addition, the team will test the automated Eco-CACC system using the INTEGRATION microscopic simulation software to quantify the system-wide impacts on traffic mobility, energy consumption and emission levels. It is anticipated that the proposed system will improve transit operations by reducing delay and helping transit agencies save on energy costs, resulting in improved transit level of service, promoting more ridership and improving traffic mobility.
Universities and Sponsoring Organizations Involved
Viginia Tech, Morgan State University
Hesham Rakha (VT) Email: email@example.com
Hao Chen (VT) Email: firstname.lastname@example.org
Mansoureh Jeihani (MSU) Email: email@example.com
Funding Sources and Amounts
USDOT: $139,999.70 (Federal), Virginia Tech: $52,500 (Match), Morgan State University: $35,606 (Match)
Expected Completion Date
Expected Research Outcomes
The proposed research effort will be the first study to develop manual and automated modes of an Eco-CACC system for different types of buses - diesel and hybrid electric, and test the proposed system in mixed traffic (including light duty vehicles and buses) using a driving simulator and microscopic simulation software.
Expected Equity Impacts and Benefits of Implementation
It is anticipated that the proposed system will improve transit operations by reducing vehicular delay and help transit agencies achieve major fuel/energy savings and reduce vehicle emissions, those would eventually improve transit level of service, promote more ridership and improve mobility in the network. Thus, the proposed research will promote fair transportation access and mobility opportunities for all social groups and populations.
Connected and Automated Vehicle, Eco-Cooperative Adaptive Cruise Control, Energy Modeling, Hybrid Electric Bus, Diesel Bus, Microscopic Traffic Simulation