Research on Adaptive Regional Traffic Control Strategies Selection Method

This paper uses regional saturation and speed as evaluation index, uses one of the traffic control region as research object, VISSIM as the test platform. Operation effect of different traffic control strategies under different traffic situations are simulated, so as to select the optimum traffic control strategy for corresponding traffic situation. Meanwhile, this paper proposes an adaptive traffic control strategy selection method based on fuzzy neural network. At last, a simulation is done with this method to offer the region with different traffic control strategies. By comparing the effect of time-variant strategies and the fixed strategies, we come to the conclusion that time-variant strategies are more excellent than the fixed strategies and the adaptive traffic control strategy selection method based on fuzzy neural network is validate and usable.