Traffic-Induced Model

In order to rationally control the distribution of traffic flow and avoid traffic congestion, improve the utilization of road network, a traffic-induced model is used in this paper. Various states of the road network are graded following the dynamic traffic assignment ideas. Complex traffic-induced problems are resolved by comparing the size of the state transition probability. For illustration, a road network example is utilized to show the feasibility of the traffic-induced model in solving traffic Control problem with the transition probability. Empirical results show that the size of the state transition probability can intuitively reflect the state of the road network system in the future. The traffic-induced model can achieve the pre-control of traffic flow and greatly reduce the probability of paralysis in the road network system.