定义了交通微循环概念.建立了交通微循环网络设计双层优化模型,上层问题为在满足路段饱和度约束及最大改造能力约束的条件下使得交通微循环对环境影响最小、交通效率最高及投资最省;下层问题采用用户均衡交通分配来描述驾驶员的路径选择行为.运用功效系数法构造了多目标规划的评价函数,并通过遗传算法建立了模型的求解算法.算例表明,通过求解双层规划模型可同时确定交通微循环网络构成及各条道路改造后的通行能力.
The idea of traffic micro-circulation was proposed,and the bi-level programming model were constructed for the traffic micro-circulation network design.The upper-level problem was to minimize the total cost and adverse influence on environment and to maximize traffic efficiency under the constraints of saturation and reconstruction space of road links;the low-level problem adopted the user equilibrium traffic assignment to describe drivers' route choice behaviors.With the efficacy coefficient method,an evaluation function of the multi-objective programming was found and the genetic algorithm for this model was proposed.A numerical example shows that the structure of the traffic micro-circulation network and the capacity of each of the selected branch road can both be determined by solving the bi-level programming model.