Author(s)

Rui Cao

Corresponding Author

Rui Cao

Abstract

In order to improve the traffic efficiency of the intersection, the intersection state is divided based on the phase saturation, and the vehicle delay and the number of stops are calculated according to the division state. The vehicle delay, the number of stops and the traffic capacity are optimized functions. A new cross is proposed. The port traffic signal timing method is based on cat mapping and cloud model to improve the standard particle swarm optimization algorithm. The chaotic cloud particle swarm optimization algorithm is used to establish the numerical simulation results based on the optimized intersection signal timing model and the specific intersection traffic statistics. It shows that the new model can control the traffic intelligently according to different traffic flow conditions, reduce the vehicle delay and the number of stops, improve the traffic capacity of the intersection and verify the effectiveness and advancement of the model to deal with the traffic timing optimization problem.

Keywords

Intelligent Signal Processing System, Framework Study, Particle Swarm