Eco-Driving for Public Transit in Cyber-Physical Systems Using V2I Communication

Abstract

This paper studies the eco-driving of public transit using the information of the traffic signal and the passengers obtained with V2I infrastructure. An optimal control is formulated to minimize the vehicle exhaust emission and avoid the extra stops at the intersection. The numerical algorithm is proposed by integrating the rolling horizon optimization with the branch and bound method. The optimal driving velocity is displayed to the drivers via mobile applications. A traffic network in Xicheng District, Beijing, is chosen to investigate the performance of the developed eco-driving approach.