Study On Urban Arterial Road Traffic Signal Coordinated And Optimization

With the acceleration of the urbanization develop,more and more people are pouring into the city that cause pedestrians and motor vehicles increase rapidly,as well as traffic congestion is getting more serious,even to some extent,it has limited the development of urban economy.Therefore,easing traffic congestion and releasing traffic pressure has become the significant topic.In urban road traffic signal control system,research an effective traffic signal coordinated management method is expected to reduce the arterial vehicle delay which caused by stopping frequently,decrease exhaust emission which caused by stopping long-term,decline the waste of fuel and relief other traffic system service problems.The substance of urban arterial traffic signal coordinated control issue is a multi-objective optimization to search the non-inferior solution problem,it’s mainly apply a relative optimal method of multi-objective problem to get the optimal solution.The common methods are gradient descent,genetic algorithm and particle swarm optimization(PSO)algorithm.A new multi-objective optimization method has been proposed in this paper to solve the urban arterial traffic signal coordinated control and optimization based on the existing traffic signal coordinated control method,it is chaotic genetic algorithm,it combines traditional genetic algorithm and chaotic operation,makes genetic algorithm have chaotic searching,better initial population and faster convergence.Firstly the research background and significance of urban arterial traffic signal coordinated control were claimed,and the research status at home and abroad were analyzed.Next the arterial traffic mathematical models have been studied,it set up average delay model,queue length model and stop rate model.At last,the classical Webster and MAXBAND optimization method were discussed,and their improvements have been proposed.And a new multi-objective optimization method based on chaotic genetic algorithm to optimize the traffic model has been proposed.Using simulation platform VISSIM to set up a classical urban arterial traffic sample road to simulation analysis,the experiment result proves the superiority of improved method and new optimization method compare with the traditional method.