Modeling and Simulation on Route Choice Distribution Method of Urban Traffic Guidance System

Urban traffic route distribution was explored in this paper.As urban traffic is heavy,complex and changeable,travelers have difficulty in route choices.A route choice distribution method based on improved bee colony algorithm was proposed to optimize urban traffic route distribution,solving the large amount and the long time of calculation of existing traffic guidance model.Bilateral information transfer technology was applied to get the traffic flow condition of real time roads which are classified on the accessible capacity,and by imitating individuals of bee colony,the optimality was found with fast speed of convergence.Simulation results show that the model and algorithm can effectively solve the urban traffic route distribution,and the computer is of low complexity,high computational efficiency,and fast convergence,which verifies the practicability and effectiveness of the algorithm.