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Research on the Coordination Optimization Method between Traffic Control and Traffic Guidance Based on Genetic Algorithm

机译:基于遗传算法的交通控制与制导协调优化方法研究

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This paper proposes a coordination optimization method between traffic control and traffic guidance so as to alleviate traffic congestion spatially and temporally. Firstly, this paper summarizes the state of art in this field and brings forward the existing problems. Secondly, considering both network equilibrium control optimization and signal timing optimization, a coordination optimization model including optimization objective function and restriction is proposed. Then, a solution algorithm based on genetic algorithm is proposed. Finally, this paper selects a region with 30 intersections in Changchun city as field test region, uses field data and simulation data to test the method. It comes a conclusion that this method could alleviate traffic congestion to some extent.
机译:提出了一种交通控制与交通引导之间的协调优化方法,以在空间和时间上缓解交通拥堵。首先,本文总结了该领域的技术现状,并提出了存在的问题。其次,考虑网络平衡控制的优化和信号时序的优化,提出了一种包含优化目标函数和约束的协调优化模型。然后,提出了一种基于遗传算法的求解算法。最后,选取长春市30个十字路口的区域作为现场测试区域,并利用现场数据和模拟数据对该方法进行测试。结论是该方法可以在一定程度上缓解交通拥堵。

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