Bierley非线性跟驰模型特性仿真分析

非线性跟驰模型是描述车辆跟驰行为的经典模型之一,通过对GM模型发展过程的分析与阐述,引入Bierley非线性跟驰模型,应用Matlab构建仿真环境,以车头间距为研究对象,拟定试验情景,分别对不同参数的变化进行仿真分析.结果表明：Bierley非线性跟驰模型可以较好地反映交通流的波动性、滞后性和制约性,模型参数α0与驾驶员对外界刺激的反应负相关,h与车头间距的波动幅度正相关,k与车头间距达到稳定态的时间负相关;跟驰队列头车速度v0和初始车头间距l0均不影响跟驰队列的稳定状态,仅影响到达稳定状态的过程和时间.

Simulation analysis of Bierley nonlinear car-following model

The nonlinear car-following model is one of the classical model to describe the behavior of the car. It introduces the Bierley nonlinear car-following model through the analyzes, elaborates the GM model development, uses simulation environment with Matlab, takes the headway as the research object, develops the test scenarios, analyze and simulates the different parameters respectively. The results show that： the Bierley nonlinear car-following model can better reflect the volatility, hysteresis and constraint of the traffic flow; the parameter ao is negatively correlated with the driver＇s reaction to outside stimulation, h is positive correlation with the fluctuation amplitude of the headway, and k is negatively correlated with the time to the steady state; the velocity of first car in queue v0 and the initial headway 10 does not affect the steady state, except for the process and time to the steady state.