基于最优间距的车辆跟驰模型及其特性

杨达; 蒲云; 杨飞; 祝俪菱

doi:10.3969/j.issn.0258-2724.2012.05.025

基于最优间距的车辆跟驰模型及其特性

doi: 10.3969/j.issn.0258-2724.2012.05.025

基金项目:

国家自然科学基金资助项目(50908195,51278429)

详细信息

通讯作者:
蒲云(1962-),男,教授,博士,研究方向为智能交通,电话:028-87600005,E-mail:ypu@swjtu.edu.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2011-11-27
- 刊出日期: 2012-10-25

Car-Following Model Based on Optimal Distance and Its Characteristics Analysis

摘要

摘要: 为真实地反应车辆跟驰机理,假设在跟驰状态下,驾驶员倾向于保持最优跟驰间距,在分析最优间距函数的基础上,建立了车辆跟驰模型(optimal distance model, ODM).利用NGSIM数据,对ODM模型和经典Gipps车辆跟驰模型进行参数标定和评价.用仿真方法分析了ODM模型再现宏观交通流现象的能力和加速度特性.研究结果表明:与Gipps模型相比, ODM模型的加速度、速度和距离的仿真精度分别提高了0.36 m/s2、0.99 m/s和0.73 m,并能够再现实际交通流中稳定车流和冲击波等交通现象;在稳定交通流中, ODM模型总是趋向于使车辆间距等于最优跟驰间距,或在其附近小幅度波动.
- 车辆跟驰 /
- 最优间距 /
- NGSIM /
- 稳定性
Abstract: To reveal the mechanism of car-following behaviors more accurately, a car-following optimal distance model (ODM) was proposed based on analysis of the optimal distance function, under an assumption that drivers in a car-following process always tend to maintain an optimal spacing distance. Then, the ODM and Gipps' car-following model were calibrated and evaluated using the next generation simulation (NGSIM) data. The numerical simulation method was adopted to analyze the acceleration characteristic of the ODM and its ability in reproducing the macroscopic phenomena of traffic flow. The results show that the simulation accuracy of the ODM in acceleration, velocity and distance MAE (mean average error) is 0.36 m/s2, 0.99 m/s and 0.73 m higher than that of the Gipps' model; the ODM can reproduce the stable state and shock wave phenomenon of traffic flow, and always tends to choose an acceleration that can make the distance between successive vehicles equal or just fluctuate about the optimal distance value in the stable state.
- car-following /
- optimal distance /
- NGSIM /
- stability

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参考文献(19)

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