Eco-driving at signalized intersections under uncertain traffic conditions

Abstract

Eco-driving at signalized intersections is a topical issue in CAVs technology and an important part of energy-efficient driving. In this paper, a robust eco-driving control method of vehicular platoon is proposed to address the uncertain traffic conditions, including traffic queuing effects and signal time variations. Firstly, an effective signalization model is established by estimating the traffic queue length and describing the uncertain parameters with the interval number. Then, taking fuel economy and vehicle safety as the objectives, the uncertain objective function is transformed into a deterministic optimization problem by using the order interval relation model. Finally, a model predictive control method is used to optimize the problem. The simulation results indicate that the proposed method can significantly improve the control robustness and fuel economy without the signal history data.