基于改进优化速度函数的跟驰模型研究

为了探究车辆跟驰中车头间距与速度的关系函数,采用高精度车载GPS设备获取了大量基于时间序列的车辆跟驰数据,根据实测车头间距—平均速度关系构建了改进的优化速度函数.对原优化速度函数和改进的优化速度函数进行了参数标定,并对两个函数进行了微观向宏观交通参数的推导,结果表明,改进的优化速度函数能更好地描述车辆跟驰中微观和宏观交通参数之间的关系.最后对基于两种函数的全速度差跟驰模型进行了数值模拟,结果表明,基于改进的优化速度函数的跟驰模型具有更好的稳定性.

Car-following Model Based on the Modified Optimal Velocity Function

To research the numerical relationship between headway and speed, field data of car-following is gathered by vehicles equipped with high precision GPS, and a Modified Optimal Velocity model (M-OVM for short) is built based on the field data. The original OVM and the M-OVM are calibrated and extended to the macroscopic parameters, the result shows that the M- OVM can describe the relationship of traffic parameters with a higher accuracy. Furthermore, simulations are conducted to analyze the characteristics of the car-following model with the M-OVM, the result shows that the M-OVM can improve the stability of the car-following model.