Research on Speed Guidance Strategy based on multi-objective optimization in Connected Vehicle Environment

Green Light Optimal Speed Advisory (GLOSA) is an intelligent transportation system technology that uses real-time information from traffic lights and real-time vehicle location and speed information to advise drivers on the optimal speed, so that it can reach the optimal speed before the next traffic light turns green. It aims to reduce vehicle energy consumption and traffic congestion while improving road safety. In this paper, a two-layer frame is proposed to optimize vehicle speed as to reduce vehicle energy consumption while vehicles pass through intersections without stopping. The upper frame is to calculate the passable time area of vehicles arriving at the intersection without stopping by predicting the queuing information at intersections. The lower frame is to calculate the energy consumption at each point in the passable time area when vehicles arrive at the intersection, and the Dijkstra algorithm is used to solve the path where vehicles pass through continuous intersections without stopping and have the least energy consumption. The simulation results show that, compared with the constant speed strategy through the intersection, the proposed multi-objective optimization strategy can reduce energy consumption by 0.7%, 2.6% and 9.8% under the condition of over-saturated, saturated and under-saturated traffic volumes, respectively. It is an effective vehicle speed guidance optimization strategy.