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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管制与流量指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:本文提出了交通管制和流量指导之间的协调优化方法,以便在空间和时间缓解交通拥堵。首先,本文总结了该领域的艺术状态,并带来了现有的问题。其次,考虑到网络均衡控制优化和信号定时优化,提出了一种协调优化模型,包括优化目标函数和限制。然后,提出了一种基于遗传算法的解决方案算法。最后,本文选择了长春市作为现场测试区中有30个交叉点的区域,使用现场数据和模拟数据来测试该方法。结果是一个结论,这种方法可以在一定程度上缓解交通拥堵。

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