城市干道交通信号协调控制仿真优化

Simulation Optimization for Urban Arterial Coordinate Control

摘要:

针对传统方法在干道协调控制输入假设、模型建立及优化指标计算方面存在的典型问题，提出了基于仿真优化的城市干道协调控制优化方法：研究了仿真优化的集成框架及基于模拟退火拉伸思想的改进遗传算法的城市干道协调控制相位差优化设计方法；应用Visual Basic编程语言通过VISSIM组件对象模型接口建立了基于微观仿真的干道协调控制自动仿真优化模型。最后以上海市黄兴路干道协调控制为例，在以延误为优化指标运用改进遗传算法算法进行优化过程中，发现油耗、排放（NOx、CO）以及停车次数指标变化趋势基本一致，以延误为优化指标与其他优化指标的计算结果并无明显差异。

Abstract:

The typical problems of traditional methods for urban arterial coordinate control such as input hypothesis, model establishment and Performance Indicators calculation were pointed out. An urban arterial coordinate control Simulation Optimization (SO) model and techniques were put forward in the paper, including the SO integrated framework and an Improved Genetic Algorithm (IGA) based Simulated Annealing Extending for offset optimization and the SO platform using the Visual Basic programming language and the Component Object Model (COM) interface based on micro simulation model VISSIM. A three-intersections VISSIM test bed was developed to evaluate the performance of the proposed SO-based arterial coordinate control in Huangxing road under the condition of optimization indicator was average delay. The results show that the fuel consumption, stop times and emission (NOx, CO) curve changing trend is similar with delay and there are no statistics differences for the offset optimization values under different optimization Indicators.