| With the city traffic jams become a worldwide problem, how to use existing facilitiesmore efficient management tools, has become the world topics at the forefront of the fieldof transportation. Two-way traffic artery Green Wave coordinated control is conducive tothat the enhancing level of traffic management has become the research focus of the trafficcontrol direction. This paper explored and studied how to make traveling on the main roadtraffic as much as possible through traffic trunk road in the green time. A algorithm basedon chaos genetic was put out for each phases of trunk road, also put forward a solutionbased on genetic BP neural network road green wave band maximization algorithm.First of all, put out the two-way traffic artery Green Wave coordinated control theoryof knowledge, reviewed the variety of two-way traffic artery the Green Wave coordinationcontrol algorithm, gave the basis for judgment roads Green Wave coordinated controlalgorithm effect. This section provides a theoretical basis for the follow-up study.Then, Presented the retardation of the optimization problem. For traffic roads withminimum delay time to solve the problem is proposed based on Logistic mapping chaoticgenetic optimization algorithm, and then get the optimum phase difference of eachintersection. Finally, simulation experiments and comprehensive comparison with geneticalgorithm and chaos optimization algorithm and traditional parsing algorithm, whichproves that the method can effectively solve the traffic artery delays in the least time tosolve the problem.Finally, the Green Wave with maximum bandwidth to solve the problem. Firstintroduced the the traditional parsing algorithm coordinated control of roads Green Wavedesign ideas; focused on the characteristics of urban traffic flow; then discuss the basicprinciples of genetic BP neural network, and finally a genetic BP neural networkalgorithm with the traditional parsing algorithm combined optimization algorithm. Thealgorithm uses genetic BP neural network traffic artery of the cycle, the Green Wave withbandwidth, phase difference in timing optimization, and then use that algorithmparameters optimized with the Green Wave with optimal bandwidth optimization. Theinstance analysis showed: improved traditional parsing algorithm can be a good solutionto solve the problem of maximizing roads green wave. |
