Green light optimal speed advisory for hybrid electric vehicles

There are few studies on the speed optimization of hybrid electric vehicles (HEVs) in an intelligent transportation system (ITS), and therefore, this paper proposes a novel optimal speed advisory strategy for continuous intersections that helps reduce fuel consumption and passing time. The map of the complex fuel consumption model of HEVs is constructed, and a method based on a genetic algorithm that considers continuous intersections and traffic conditions is designed to solve this nonlinear optimization problem. The comparison of the results of a real driving test and a single-intersection optimization algorithm with the simulation results of the proposed optimal speed algorithm for continuous intersections shows that the proposed strategy has a significant advantage in reducing fuel consumption and intersection passing time.