A Novel Optimization and Control Method for Signalized Traffic Network


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For the dynamic optimization and control problem of the signalized arterial network in urban, a dynamic traffic flow model based on multi-phase control is firstly formulated, in which the total number of the retained vehicles through the arterial during the control period is adopted as the optimization objective and the green times and offsets as the control variables. Then a hybrid optimization method based on real-coded genetic algorithm and local search technique is designed to solve the optimization problem. For examining the validity of the optimization and control method proposed, it is applied to a case study with dynamic traffic demands and a large number of simulations show that the dynamic optimization and control method proposed in this paper can work well for the signalized arterial network.



Advanced Materials Research (Volumes 403-408)

Edited by:

Li Yuan




X. F. Chen and Z. K. Shi, "A Novel Optimization and Control Method for Signalized Traffic Network", Advanced Materials Research, Vols. 403-408, pp. 3229-3234, 2012

Online since:

November 2011




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