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定义了交通微循环系统的概念,在此基础上分析了交通微循环功能特性,从分流干道交通、疏解交通拥堵、提供安全舒适出行的目标出发,构建了交通微循环多目标的双层规划模型,并运用多目标协同优化方法分析优化目标.上层模型在满足路段饱和度和最大改造能力的约束条件下,使交通微循环的可达性最高、投资费用最省、环境影响最小;下层模型采用动态均衡模型对交通流进行配流.并运用遗传算法对模型进行了求解.
The concept of traffic microcirculation system is defined. On the basis of this, the functional characteristics of traffic microcirculation are analyzed. From the goal of diversion trunk traffic, traffic congestion alleviation and safe and comfortable travel, a multi-objective bi-level programming model of traffic microcirculation , And use the multi-objective collaborative optimization method to analyze the optimization objective.Under the constraints of satisfying the section saturation and the maximum retrofitting ability, the upper model maximizes the accessibility of the traffic microcirculation with the lowest investment cost and the least environmental impact, while the lower model uses The dynamic equilibrium model is used to match the traffic flow and the genetic algorithm is used to solve the model.