基于遗传算法的公交专用道交叉口实时信号控制

Real-time Signal Control of Urban Intersection Based on Genetic Algorithms for Bus Lane

研究了设公交专用道时信号控制交叉口在相对固定周期条件下,信号配时随路上交通流量变化而实时调整的优化算法。首先以总延误时间最少为目标建立优化函数,然后以饱和度限制及最小绿灯时间要求为约束建立非线性规划模型,再采用遗传算法对模型进行求解以得到最优配时方案。通过仿真实例说明了函数构造及求解的过程。

This paper focuses on optimizing algorithms of signal timing of urban intersection based on real-time traffic volume under relatively fixed periods when bus lane is set. Firstly optimizing function is made to minimize the total delay, then non-linear programming model with restrictions of saturation and minimum green light time is constructed, and then genetic algorithms is applied to solve this model and the best scheme of signal timing can be obtained. The process of construction and solving of the function is shown in a simulation experiment.