Developing a Novel Eco-Driving Strategy for Connected and Automated Vehicle at Isolated Signalized Intersection

Eco-driving strategy for connected and automated vehicle (CAV) has the potential to mitigate traffic congestion and fuel consumption. Despite abundant studies in this field, most of them consider a rule-based method or only optimize the fuel consumption. This study proposes a novel eco-driving strategy for CAV at isolated signalized intersection, where the cost functions include travel time, fuel consumption, and terminal speed. Two scenarios are considered in this study, i.e., single vehicle and mixed traffic scenario. In the single vehicle scenario, an optimal control problem (OCP) is proposed to the ecological trajectory of the ego CAV. In the mixed traffic scenario, a rolling horizon method is applied for the real-time implementation of the proposed OCP while considering the time-varying movement of preceding human-driven vehicles (HDVs). Numerical results show that the proposed strategy can reduce travel time and fuel consumption with a larger terminal speed, in both single vehicle and mixed traffic scenarios.