基于一种新的混合算法的交通流控制优化模型

Traffic Optimization Control Model Based on a New Hybrid Algorithm

  • 摘要: 运用交通流控制理论建立了在交叉口空间渠化及信号相位相序给定的条件下,考虑机动车与非机动车的延误(服务水平)约束条件,机动车通行能力最大的优化模型,并利用遗传算法及混沌优化算法互补的混合优化算法对模型进行了优化计算.实际优化计算结果表明,文中的优化模型及其混合算法具有较高的理论价值及实用价值,本次研究为信号交叉口交通流的协调控制优化研究提供了新思路和新方法.

     

    Abstract: Under the conditions of given intersection space design and signal phases and with the restriction of traffic delays (level of service) of motor vehicles and non-motor vehicles, this paper presents an optimization model for the maximum motor vehicle traffic capacity using the traffic flow control theory. And the model is solved by a hybrid algorithm, which combines genetic algorithm with chaos optimization algorithm. The results of actual calcul ation indicate that the theory value and practice value of the optimization model are high. New ideas and methods are provided for the coordinate and optimal control of the traffic flows in signalized intersections.

     

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