Exploring Swarm Optimization of Traffic flow in Cities

With the acceleration of industrialization and urbanization in China, the development of the city is increasingly becoming saturated. There is no doubt that the city's economic development and people's travel life have brought a lot of pressure on the urban road traffic. Many research focus on the optimization of traffic flow in cities. Considering the accident, vehicles can avoid congestion point and change behavior, such as moving path of accidents before the vehicle driving rules in BML model was improved, closer to that of the actual vehicle driving behavior. On the basis of the improved model, the density of road network traffic flow must be respectively, the accident point number changes impact on the average speed of traffic flow; Accident number must be, a road network traffic flow density changes impact on the average speed of traffic flow; Accidents before the vehicle transition probability at each lattice point impact on the average speed of traffic flow; The vehicle before the accident point transfer probability distribution function of each lattice point is different effect the running state of the system simulation research on the four questions such as, the analysis of simulation results, a series of meaningful conclusions.