Intelligence Model And Algorithm For The Integration Of Traffic Control And Route Guidance

Based on the idea of combine Traffic Control and Road Guidance, this dissertation studies an intelligence model and its algorithm. The author presents a new ITS model, which combine the online control and guidance and offline optimization. He also provides an algorithm to solve this problem and study the efficiency of this algorithm. This model can be divided into four units: online detector unit, offline optimization unit, online control and guidance unit, and evaluation unit.The structure of this dissertation is based on this model. It introduces the model, algorithm and demonstration in three chapters. The back ground knowledge of Intelligence Traffic Systems and traffic control and road guidance are stated in the first chapters, in the second chapter the author gives a detail introduction to the traffic control and rout guidance's intelligence model, after that we introduce the offline optimism unite and provide a math model to solve the problem. In chapter four, we design an example and prove the validity and efficiency of the math model.The most important chapter is chapter three—the offline optimization unit. In this chapter the author fully considers the impact of the signal control on the traffic flow, and build a new math model uses the delay formula of intersection. Author also analyses the solution of this model, and bring forward the GA to solve this problem.Because the algorithm efficiency is critical, how to improve the efficiency of the algorithm should also be studied. During the experiment of demonstration, The Gene of the algorithm is designed based on the road net structure. After several times of experiments, the results demonstrate this model convergence quickly in GA. And the satisfactory solution is in existence and can be found. Incase that the fast algorithm, we can improve the effective of the algorithm in terms of reduce the population size and revolution generation, and the feasible solution can be found.Finally, the author concludes the study of this article; bring forward some deficiency of the model and indicate the direction of future study.