Signal Timing Simulation of Single Intersection based on Fuzzy-Genetic Algorithm

Intersection is an important component of the urban transport network, in where traffic congestion usually takes place. One of the key to solve urban transport problems is to organize the traffic in the intersection reasonably and effectively. This paper does research on a specific single intersection, using the video traffic data collection technology, considering signal cycle and phase time which are decided by a real-time traffic flow. The paper developed a self-adaptive timing model on the single target constraint to reduce intersection delay. The model is carried out through fuzzy-genetic algorithm. Matlab simulation analysis and a series of comparison show that the methods of optimization models and genetic algorithm are effective and feasible.