Connected Ecological Cruise Control Strategy Considering Multi-Intersection Traffic Flow

This paper constructs the signal light model of intersection considering dynamic traffic flow, and proposes an ecological cruise control strategy using the pseudo-spectral method to optimize the energy consumption of electric connected and automated vehicles when passing through multiple intersections. Firstly, a method for a dynamic effective red light duration model considering the average queue effect and the real-time flow fluctuation effect is proposed. Secondly, a recursive and traversal search algorithm is used to identify different combinations of traffic schemes to reduce the complexity of a solving global optimization problems. Finally, considering the constraints of dynamic effective red light duration, the pseudo-spectral method is proposed which can be used in the traffic energy-saving planning of single intersection and multiple intersections. Simulation results demonstrate that compared with dynamic programming benchmark algorithm, the energy-saving effect of this control strategy is much close to the global optimum, and the calculation efficiency is far better. Besides, compared with the intelligent driver model which used as the energy consumption benchmark, this control strategy can produce a better energy-saving speed reference trajectory.