基于改进优化速度函数的跟驰模型研究

发布时间：2018-06-15 19:39

本文选题：城市交通 + 跟驰模型　；参考：《交通运输系统工程与信息》2017年02期

【摘要】：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.
[Abstract]:In order to explore the relation function between the headway spacing and the speed in the vehicle following, a large number of vehicle car-following data based on time series are obtained by using the high-precision vehicle GPS equipment. An improved optimal velocity function is constructed according to the measured distance between the headstock and the average velocity. The parameters of the original optimized speed function and the improved optimized speed function are calibrated, and the microscopic and macroscopic traffic parameters are derived from the two functions. The results show that, The improved optimal speed function can better describe the relationship between the vehicle and the microscopic and macroscopic traffic parameters. Finally, the numerical simulation of the full velocity difference car-following model based on two kinds of functions is carried out. The results show that the car-following model based on the improved optimized velocity function has better stability.
【作者单位】：哈尔滨工业大学交通科学与工程学院;深圳市城市交通规划设计研究中心有限公司;
【分类号】：U491.255

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