基于最紧邻前车加速度信息的跟驰模型
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重庆市教委科学技术资助项目(KJ1403209,KJ1503301);中国博士后面上资助项目(2015M572450)。


Car-following model based on the information of the nearest-neighbor leading car’s acceleration
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Supported by the Natural Science Foundation of Chongqing Municipol Education Commission(KJ1403209,KJ1503301); China Postdoctor Science Foundation Funcled Project(2015M572450).

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    摘要:

    为了提高车流的稳定性能,考虑最紧邻前车加速度信息的影响,在优化速度差模型(Optimal velocity difference, OVD)的基础上,引入参数 p 表示驾驶人对最紧邻车辆加速度信息的关注程度,提出了含加速度项的跟驰模型。通过线性稳定性分析,得到交通流的临界稳定判据。数值仿真表明新模型与OVD模型比较,通过调节参数 p ,可以避免在低敏感系数下OVD模型中负速度现象的出现,同时,加速度效应对车流致稳效果更加明显。因此,研究模型能更有效地增强车流稳定性能和更好地描述实际交通流现象,为多车协同驾驶策略提供了先导作用。

    Abstract:

    In order to effectively enhance the stability performance of traffic flow, based on the optimal velocity difference (OVD) model, an improved model containing acceleration term is deduced with the consideration of the effect of information about the nearest-neighbor leading car’s acceleration to the following car. In the model, a parameter p is introduced, which expresses the consideration of the nearest-neighbor leading car’s acceleration. The linear stable judging condition is obtained by linear stability analysis. Simulation results are compared with those of OVD model. It shows negative velocity under the low sensitivity can be avoided by adjusting the parameter p , and the stability of traffic flow is enhanced. Therefore, the model can not only suppress traffic jam more effectively but describe the actual traffic phenomenon more precisely. It provides theoretical fundaments for cooperative driving.

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李修云,周桐,杨智勇.基于最紧邻前车加速度信息的跟驰模型[J].重庆大学学报,2015,38(6):153-158.

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  • 收稿日期:2015-07-03
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  • 在线发布日期: 2016-01-04
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