基于车辆个体行为的交通流跟驰模型研究

Research on Car following Model that Reflects Individual Differences

用改变参数取值的方法来将个体差异这一重要思想引入跟驰模型,实现对FVD(全速度差)模型的优化,对模拟交通情况和优化交通管理有积极意义。研究实现了驾驶员行为的个性化描述,采用敏感程度的概念并用一个标准正态分布中的取值表示,分析了个性化行为和模型参数的联系,实现了模型的优化和优化后模型对启动车流和稠密交通流扰动传播的数值模拟。

This essay adds thoughts of individual differences to car following models by changing values of parameters and in this way improves the FVD （Full Velocity Difference） model so as to improve traffic simulation and traffic management. The essay describes individual differences among vehicles by the conception ＂sensitivity＂ and quantifies it with a character in a standard normal school. It analy- zes the relationship among individual differences and model parameters. It also simulates starting traf- fic flow and propagation of perturbations in dense traffic flow using the improved model.