基于遗传算法的交通流控制优化模型

Traffic Control Optimization Model Based on Genetic Calculation Method

在交通流控制理论基础上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。利用遗传算法搜索全局最优的特点,运用遗传算法与梯度法相结合的混合算法对模型求解,并通过优化实例计算,验证了该方法和模型,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。

Based on the traffic control theory the optimization model of maximum capacity is built under given signal phases and the traffic delays conditions. By taking advantages of the genetic optimization and gradient calculation method and through the exemplification of the model, the significance of the methods and the models were illustrated. The results provided new ideas and methods for the study of coordinated control and optimization at signalized intersection.