Modeling and Design of Regional Traffic Dynamic Guidance Algorithm

In order to manifest high superiority and high efficiency of traffic guidance system, this paper analyzes the traffic guidance system by means of variable message signs, and studies dynamic regional guidance problems under the conditions of real-time traffic, and puts forward a regional traffic dynamic guidance algorithm. The algorithm balances traffic flow by partitioning traffic guidance regions dynamically and changing the turning ratio of vehicles at intersections in the guidance regions. In order to make analysis of the algorithm, this paper applies cellular automaton to simulate traffic environment on SWARM platform, and verify the effectiveness of the algorithm. The results of the simulation show that the overall average travel time of the induced dynamic modeling approach is reduced by 20% to 25% and the average waiting time is reduced by 4% to 10% compared to the use of the static regional guidance algorithm.