Arterial Coordinated Control Model Based On Multi-objective

Arterial plays an important role in passing and evacuating in the city’s traffic as well asthe aortic in the body. The unblocked traffic in arterial is related to the whole city’s traffic,arterial coordinated control to solve traffic congestion problems have important meaning.In this paper, it research on arterial in a city. Based on the views of the traffic managersand the driver, it builds a multi-objective optimization model for arterial coordinated control.In the model, it adopts two indexes which are the queue length and the fuel consumption as theobjective functions in the multi-objective optimization model; Secondly, it designs the multi-objective particle swarm searching algorithm to solve this model based on particle swarmalgorithm; Finally, it designs a experiment which includes an arterial that has three intersectionsand it defines the parameters of the experiment and the parameters of the multi-objectiveparticle swarm searching algorithm. Then it can gets the results of the multi-objectiveoptimization model and uses the software SYNCHRO to analysis.It divides the Pareto solution of the arterial coordinated control model into three parts: highqueue length and low fuel consumption, middle queue length and middle fuel consumption andlow queue length and high fuel consumption. It selects a Pareto solution in each part andcompares it with the automatic optimization results in the software SYNCHRO. The resultshows that Pareto solution is better than the automatic optimization results in the softwareSYNCHRO, the queue length and the fuel consumption are reduced than the automaticoptimization results in the software SYNCHRO. It proves the multi-objective optimizationmodel is successes.