考虑时延的智能网联汽车混合交通流稳定性分析
作者:
作者单位:

西南交通大学交通运输与物流学院

作者简介:

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中图分类号:

TP273

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目);四川省科技计划项目;综合交通大数据国工室交大数科创新中心项目


Stability of Mixed Traffic Flow with Intelligent Connected Vehicles Considering Time Delay
Author:
Affiliation:

Southwest Jiaotong University School of Transportation and Logistics

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan);The Science and Technology Program of Sichuan Province;Innovation Center Project of Chengdu Jiao Da Big Data Technology Co., Ltd.

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    摘要:

    为研究时延对交通流稳定性的影响,本文构建了考虑时延的人工驾驶汽车和智能网联汽车混合交通流稳定性分析模型。首先,分析并确定了混合交通流中不同类型跟驰模式的比例关系和时延取值。然后,在此基础上采用不同的跟驰参数和时延值来区分车辆的跟驰模式,并由此推导出混合交通流线性稳定条件。最后,以智能驾驶员模型(Intelligent Driver Model, IDM)为例,通过设计数值实验,分别讨论了智能网联汽车的渗透率、驾驶员的感知时延和车辆通信时延对混合交通流稳定性的影响。结果表明,智能网联汽车能够提高混合交通流的线性稳定性,而驾驶员的感知时延和车辆通信时延均不利于混合交通流系统平衡;与人工驾驶汽车相比,自动驾驶汽车(Automated Vehicles, AV)对混合交通流稳定性影响仍较小,这表明智能网联汽车能在一定程度上减缓对混合交通流系统的干扰。

    Abstract:

    In order to study the influence of time delay on the stability of traffic flow, this paper constructs an analysis model of the mixed traffic flow stability of human-driven vehicles and intelligent connected vehicles considering time delay. First, the proportional relationship and delay value of different types of car--following modes in mixed traffic flow are analyzed and determined. Then, on this basis, different car-following parameters and time delay values are used to distinguish the car-following modes. The linear stability of the mixed traffic flow is derived from this condition. Finally, taking the Intelligent Driver Model (IDM) as an example, the influence of the penetration rate of intelligent connected vehicles, the driver’s perception delay and the vehicle communication delay on the stability of the mixed traffic flow are discussed based on the numerical experiments. The results show that intelligent connected vehicles can improve the linear stability of the mixed traffic flow, while the driver’s perception delay and the vehicle communication delay are harmful to the balance of the mixed traffic flow system. Compared with human-driven vehicles, automated vehicles (AV) still have a small effect on the stability of mixed traffic flow, which shows that intelligent connected vehicles can alleviate the interference to the mixed traffic flow system to a certain extent.

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历史
  • 收稿日期:2020-12-30
  • 最后修改日期:2021-03-26
  • 录用日期:2021-03-29
  • 在线发布日期: 2021-04-26
  • 出版日期: