Research of streetcar intersection signal control based on improved particle swarm algorithm

Streetcars are easily affected by road environment. The intersection, as the bottleneck of road capacity, restricts the traffic efficiency of the whole road network. An optimization problem model was established, the improved particle swarm algorithm was analyzed, and the particle swarm algorithm based on catastrophic adaptation was used to analyze signal timing of  streetcar intersection. Taking the actual single point intersection of streetcar in Shanghai Songjiang as research object, the optimal signal phase distribution plan of the intersection was obtained through simulation, which can reduce the impact of streetcars on road congestion.