混入智能网联车队的混合交通流元胞自动机模型

doi:10.16182/j.issn1004731x.joss.20-0976

系统仿真学报 ›› 2022, Vol. 34 ›› Issue (5): 1025-1032.doi: 10.16182/j.issn1004731x.joss.20-0976

混入智能网联车队的混合交通流元胞自动机模型

蒋阳升^1,^2,³(), 王思琛^1,², 高宽^1,², 刘梦^1,², 姚志洪^1,^2,³()

^1.西南交通大学　交通运输与物流学院，四川　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，四川　成都　611756
^3.西南交通大学　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，四川　成都　611756

收稿日期:2020-12-07 修回日期:2020-12-15 出版日期:2022-05-18 发布日期:2022-05-25
通讯作者: 姚志洪 E-mail:jiangyangsheng@swjtu.cn;zhyao@swjtu.edu.cn
作者简介:蒋阳升（1976-），男，博士，教授，研究方向为交通系统优化。E-mail：jiangyangsheng@swjtu.cn
基金资助:
国家自然科学基金(52002339);四川省科技计划(2021YJ0535);综合交通大数据国工室交大数科创新中心项目(JDSKCXZX202003)

Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon

Yangsheng Jiang^1,^2,³(), Sichen Wang^1,², Kuan Gao^1,², Meng Liu^1,², Zhihong Yao^1,^2,³()

^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

Received:2020-12-07 Revised:2020-12-15 Online:2022-05-18 Published:2022-05-25
Contact: Zhihong Yao E-mail:jiangyangsheng@swjtu.cn;zhyao@swjtu.edu.cn

摘要/Abstract

摘要：

针对现有自动-手动驾驶混合交通流元胞自动机模型未考虑智能网联车队队列行为，提出了考虑智能网联车队的混合交通流元胞自动机模型，研究混入智能网联汽车车队的混合交通流特征。对混合交通流中的跟驰行为进行了分析，基于跟驰行为的特征，分别构建人工驾驶跟驰模式、自适应巡航模式、协同自适应巡航车队模式的元胞自动机规则，基于数值仿真实验对不同智能网联车渗透率下的混合交通流特性及拥堵情况进行了分析。结果表明：智能网联汽车的应用可显著提高道路通行能力和车辆平均速度，进而有效地缓解交通拥堵。

关键词: 智能网联汽车车队, 交通流特性, 元胞自动机, 混合交通流, 渗透率

Abstract:

To solve the existing cellular automata model of automatic-manual driving that does not consider the behavior of vehicle platoon, a cellular automata model of mixed traffic flow with the intelligent connected vehicles platoon is proposed, and the characteristics of mixed traffic flow are analyzed. The existing car-following behaviors in mixed traffic flow are analyzed. Based on the characteristics of the car-following behaviors, the cellular automata rules of human-driven vehicles (HDV), adaptive cruise control (ACC), and cooperative adaptive cruise control (CACC) are developed, respectively. Based on the numerical simulation experiments, the mixed traffic flow characteristics and congestion conditions are analyzed under different intelligent networked vehicle penetration rates. The result shows that with intelligent connected vehicles, the road capacity and average vehicle speed can be improved significantly, and traffic congestion can be alleviated effectively.

Key words: intelligent connected vehicles’ platoon, traffic flow characteristics, cellular automata model, mixed traffic flow, penetration rate

中图分类号:

TP391.9

蒋阳升, 王思琛, 高宽, 刘梦, 姚志洪. 混入智能网联车队的混合交通流元胞自动机模型[J]. 系统仿真学报, 2022, 34(5): 1025-1032.

Yangsheng Jiang, Sichen Wang, Kuan Gao, Meng Liu, Zhihong Yao. Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon[J]. Journal of System Simulation, 2022, 34(5): 1025-1032.

图/表 5

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渗透率	拥堵比例	减少百分比
0	69.12	0
20	66.18	4.25
40	60.01	13.18
60	51.99	24.78
80	38.74	43.95
100	0	100	%

混入智能网联车队的混合交通流元胞自动机模型

Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon

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