论文部分内容阅读
为合理控制线控系统,控制参数应协调设置.本文基于分层递阶技术优化设计控制参数.首先将元胞传播模型(CTM)进行改进,考虑出口道车队离散延误,建立干线路段及交叉口分流、合流交通流模型,使CTM适于网络交通流分析.然后,针对线控系统现状研究忽视共用周期优化的问题,基于控制参数间的相依关系,考虑上、下行相位差关系,建立两级递阶控制模型;协调级根据主次干道车流状况,以系统总延误最小为目标同时优化共用周期和双向相位差;控制级优化绿信比使所控交叉口延误最小.同时,采用分段变化的惯性因子选择机制改进粒子群优化算法.最后,将协调优化模型及其粒子群算法应用于某仿真线控系统,比较研究发现协调控制效果良好.
In order to control the line control system reasonably, the control parameters should be set in a coordinated way.In this paper, the control parameters are optimized based on the hierarchical and hierarchical technology.At first, the cellular propagation model (CTM) is improved, the discrete delay of the exit corridor is considered, the main road sections and intersections Then, aiming at the current situation of the remote control system, the common cycle optimization problem is neglected. Based on the dependency between the control parameters and considering the phase difference between the upper and the lower, a two-stage Level control model.The coordination level aims at the minimum system total delay and optimizes the common cycle and the two-way phase difference at the same time according to the main and secondary arterial traffic flow conditions.Controlling level optimizes the green signal-to-signal ratio to minimize the delay of the controlled intersections.At the same time, The inertial factor selection mechanism to improve the particle swarm optimization algorithm.Finally, the coordination optimization model and its particle swarm optimization algorithm is applied to a simulation-based control system, the comparative study found that the coordinated control effect is good.