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:

1. 西南交通大学 交通运输与物流学院,成都 610031;2. 西南交通大学 综合交通大数据应用技术国家工程实验室,成都 611756;3. 西南交通大学 综合交通运输智能化国家地方联合工程实验室,成都 611756;4. 四川城市职业学院 教育学院,成都 610101

作者简介:

通讯作者:

E-mail: tutu286358376@163.com.

中图分类号:

U491.5

基金项目:

国家自然科学基金项目(52002339);四川省科技计划项目(2021YJ0535);综合交通大数据国工室交大数科创新中心项目(JDSKCXZX202003);中央高校基本科研业务费专项资金项目(2682021CX058).


Stability of mixed traffic flow with intelligent connected vehicles considering time delay
Author:
Affiliation:

1. School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China;2. National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University, Chengdu 611756,China;3. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University,Chengdu 611756,China;4. College of Education,Urban Vocational College of Sichuan,Chengdu 610101,China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为研究时延对交通流稳定性的影响,构建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,以智能驾驶员模型为例,通过设计数值实验分别讨论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,自动驾驶汽车对混合交通流稳定性影响仍较小,实验表明智能网联汽车在一定程度上能够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. Firstly, 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 (AVs) 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.

    参考文献
    相似文献
    引证文献
引用本文

姚志洪,顾秋凡,徐桃让,等.考虑时延的智能网联汽车混合交通流稳定性分析[J].控制与决策,2022,37(6):1505-1512

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2022-04-22
  • 出版日期: 2022-06-20