基于FVD模型的各异性跟驰模型

基于不同气质类型驾驶者的行为差异分析，建立了跟驰模型参数与驾驶人气质状况之间的关系，通过引入气质激进度变量，将跟驰模型参数表达为气质激进度的函数，并在改进FVD模型的基础上，提出了体现驾驶人行为差异的各异性跟驰模型。该模型克服了传统规范模型无法描述驾驶者个体行为差异的缺点。数值模拟实验结果表明该模型能够成功地模拟稠密交通流中小扰动传播演化结果的随机性现象。该模型结构简单，且参数易于确定，一方面为驾驶行为各异性的建模建立了理论基础，同时也为微观交通流动态随机特性模拟提供了一般性的方法。

Heterogeneous Car-following Model Based on FVD Model

This paper establishes the relationships between parameters of car-following model and temperament of drivers, based on the analysis of differences among driving behaviors of drivers with different temperaments. A new variable called aggressiveness level is introduced to car-following model, by which model parameters can be expressed as functions with regard to human temperament. Based on improved FVD model, a heterogeneous car-following model is proposed, which overcomes the shortcomings of traditional normative models that can not describe the differences of driving behaviors among drivers. Numerical simulations show the heterogeneous model can simulate the randomness of the developments of small perturbation propagation in dense traffic flow successfully. The proposed model has a straightforward structure and easy-determined parameters. It appears promising for formulating the individual attributes of drivers and also presents a general way to simulate traffic dynamics and randomness efficiently and simply.