Intelligent Vehicle Control Strategies for Cooperative Eco-driving on Road Networks

Human driving behavior and road conditions significantly affect fuel consumption and greenhouse gas (GHG) emissions of a vehicle. In particular, signalized intersections, roundabouts, and road-geometry characteristics, such as, hilly roads and horizontal curves are the major sources of bottlenecks. This thesis develops intelligent and advanced vehicle control systems for cooperative ecological (eco) driving in these road scenarios. The proposed vehicle control systems generate optimal speed profiles for fuel-efficient driving. The results show significant performance improvement in fuel economy, GHG emissions, and travel time compared to the traditional driving system, while ensuring driving safety.