基于遗传算法的动态交通分配研究

主要研究动态系统最优（DSO）模型。以总的花费时间最小为目标函数，对模型的节点集、路段集分别进行研究。通过模拟路段的流入量、流出量和路段上的交通量来建模。用传统的迭代算法解决动态交通分配问题非常复杂，而对传统迭代算法进行改进或用遗传算法等新的智能算法求解则会很简洁和方便。

Study on Dynamic Traffic Distribution Based on Genetic Algorithm

This paper mainly studies the dynamic system optimum(DSO) model.Specifically the node set and section set of the model are studied respectively based on the minimum of total spent time as the objective function.The model is built via the simulation of inflow and outflow of the section and traffic on the section.Solving the dynamic traffic distribution problem by means of conventional iterative algorithm is very complicated,on the other hand,it is simple and convenient to settle such problems by improving th...