工业工程

工业工程 ›› 2022, Vol. 25 ›› Issue (6): 92-100.doi: 10.3969/j.issn.1007-7375.2022.06.011

• 专题论述 • 上一篇    下一篇

智能网联汽车混合交通流稳定性与路段基本图分析

蒋阳升1,2,3, 郝慧君1,2, 姚志洪1,2,3   

  1. 1. 西南交通大学 1. 交通运输与物流学院，四川 成都 611756;
    2. 综合交通大数据应用技术国家工程实验室;
    3. 综合交通运输智能化国家地方联合工程实验室，四川 成都 611756
  • 收稿日期:2021-07-05 发布日期:2022-12-23
  • 作者简介:蒋阳升(1976—)，男，湖南省人，教授，博士，主要研究方向为交通系统优化
  • 基金资助:
    国家自然科学基金资助项目(52002339)；四川省科技计划资助项目(2021YJ0535,2020YFH0026)；广西科技计划项目创新驱动发展专项资助项目(桂科AA21077011)；中央高校基本科研业务费专项资金资助项目(2682021CX058)

Stability Analysis and Fundamental Diagram Analysis of Road Sections of Heterogeneous Traffic Flow Mixed with Connected Automated Vehicles

JIANG Yangsheng1,2,3, HAO Huijun1,2, YAO Zhihong1,2,3   

  1. 1. School of Transportation and Logistics;
    2. National Engineering Laboratory of Integrated Transportation Big Data Application Technology;
    3. Nation United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756, China
  • Received:2021-07-05 Published:2022-12-23

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摘要： 为研究智能网联汽车与人工驾驶汽车混合交通流特性，构建智能网联汽车与人工驾驶汽车混合交通流稳定性与基本图模型。首先，分析由智能网联汽车与人工驾驶汽车组成混合交通流中存在的4种跟驰模式；在采用不同参数的智能驾驶员模型的基础上，推导混合交通流稳定性判别式和基本图模型；最后，基于SUMO仿真软件构建微观仿真环境。结果表明，随着智能网联汽车的渗透率增加，混合交通流稳定的临界速度值区间逐渐减小。在相同的稳定车速下，智能网联汽车比例的提高有利于交通流密度和流量的提升。这些均证明智能网联汽车不仅有利于混合交通流的稳定，还能够进一步提升交通系统的通行效率。

关键词: 智能网联汽车, 混合交通流, 跟驰模型, 稳定性, 交通流基本图

Abstract: In order to study the characteristics of the heterogeneous traffic flow mixed with connected automated vehicles and human-driven vehicles, the stability and fundamental diagram model of the mixed traffic flow of connected automated vehicles and human-driven vehicles is proposed. Firstly, four different driving modes in the mixed traffic flow composed of connected automated vehicles and human-driven vehicles are analyzed. Then, based on the Intelligent Driver Model with different parameters, the mixed traffic flow stability discriminant and fundamental diagram model are derived. Finally, a microscopic simulation environment is constructed based on SUMO simulation software. The results show that as the penetration rate of connected automated vehicles increases, the critical speed range for the stability of the mixed traffic flow gradually decreases. At the same stable speed, the increase in the proportion of connected automated vehicles is conducive to the increase in traffic density and volume. All these prove that connected automated vehicles are not only conducive to the stability of mixed traffic flow, but can also improve the traffic efficiency of the transportation system.

Key words: connected automated vehicle, heterogeneous traffic flow, car-following model, stability, fundamental diagram model of traffic and flow

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