Research on traffic flow simulation via rode network-based cellular automata

This paper proposes the Road Network-based Cellular Automata mode(lRN-CA) for simulation of moving objects in traffic flow.Defects of existing models are discussed.RN-CA model not only simulates the traffic behavior of moving ob-jects of vehicles,but also proposes the departure,following,overtaking and correction model with different types of cars and roads,making simulation more accurate and reliable.Dijkastra algorithm is adopted in this paper for the dynamic selection of optimal path,factors such as the length of the road,the number of lanes,traffic,and average speed are considered.For total driven time estimation,this paper merges simulation model and prediction model,combining the current traffic information and historical traffic information.For improving the efficiency of the prototype system,the strategy of dynamic adjusting threads is applied.