Traffic Flow Guidance and Optimization of Connected Vehicles Based on Swarm Intelligence

In order to solve the problem of traffic congestion and frequent accidents caused by economic, social and urban development, this paper proposes an optimization method for traffic flow guidance of connected vehicles based on vehicle-road collaborative advanced technology. In the paths between the source and destination, road resources are allocated according to the capacity and saturation constraints of the path, an adaptive multi-objective particle swarm optimization algorithm is proposed. A multi-objective optimization model of traffic flow guidance based on swarm intelligence is established. Finally, simulation results show that the proposed optimization method reduces road saturation, travel time and delay by 5.03%, 1.04% and 25.44% respectively compared with the traditional route selection method, which shows that it can improve traffic efficiency and make efficient use of road resources.