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。
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.
作者
蒋阳升
王思琛
高宽
刘梦
姚志洪
Jiang Yangsheng;Wang Sichen;Gao Kuan;Liu Meng;Yao Zhihong(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 611756,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu 611756,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2022年第5期1025-1032,共8页
Journal of System Simulation
基金
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)。
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
intelligent connected vehicles’platoon
traffic flow characteristics
cellular automata model
mixed traffic flow
penetration rate
