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Optimization Method of Cycle Time in Signalized Intersection

机译：信号交叉口周期时间优化方法

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摘要

Gray correlation analysis was used to analyze the relationship between cycle length and controlling indexes, such as delay time and queue length, under different saturation conditions. Introducing a delay variation coefficient, with minimum average delay time, queue length, and maximum capacity as control targets (cycle length and minimum green time are used as constraint conditions), a cycle time optimization model for signalized crossing is established. In this model, weight of control index will be determined according to actual situation. To verify model validity, an intersection of Qingdao is taken as an example. R software is used to optimize the model. The F-B method, HCM method, and optimization model were simulated by Vissim software. By comparing simulation results, it shows that the proposed model can reduce vehicle delay, effectively improve intersection operating conditions, and provide a theoretical basis for intersection signal design.
机译：使用灰色关联分析法分析了不同饱和度条件下周期长度与控制指标（如延迟时间和队列长度）之间的关系。引入延迟变化系数，以最小的平均延迟时间，队列长度和最大容量作为控制目标（以循环长度和最小绿灯时间为约束条件），建立了信号交叉的循环时间优化模型。在该模型中，控制指标权重将根据实际情况确定。为了验证模型的有效性，以青岛的一个十字路口为例。 R软件用于优化模型。利用Vissim软件对F-B法，HCM法和优化模型进行了仿真。通过比较仿真结果，表明所提出的模型可以减少车辆延误，有效改善路口运行状况，为路口信号设计提供理论依据。

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