不完全车联网环境下元胞自动机换道模型研究  

Research on Cellular Automaton Lane-Changing Model in Incomplete Connected Vehicles Environment

作　　者：于泽浩 郑国荣[1] 刘小明[1] 尚春琳 董路熙 秦利南 YU Zehao;ZHENG Guorong;LIU Xiaoming;SHANG Chunlin;DONG Luxi;QIN Linan(Beijing Key Lab of Urban Road Traffic Intelligent Tech,North China University of Technology,Beijing 100144,China)

机构地区：[1]北方工业大学城市道路交通智能控制技术北京市重点实验室,北京100144

出　　处：《交通工程》2021年第3期36-41,共6页Journal of Transportation Engineering

基　　金：北京市自然基金项目(8172018);国家重点研发计划项目(2018YFB1601003).

摘　　要：随着车联网技术的不断发展,自动驾驶车辆加入交通流中的可能性逐步增大,进而形成新的混合交通流.在综合考虑自动驾驶车辆对于较大范围内交通信息实时感知能力以及车辆间信息交互对于换道的影响,提出了自动驾驶车辆关注区间的概念,设计了不完全联网环境下新型混合交通流元胞自动机换道模型,通过改变自动驾驶车辆比例、自动驾驶车辆关注区间大小、交通流密度等参数进行数值模拟.结果表明:新型混合交通流元胞自动机换道模型,能够帮助提高交通流平均速度15%左右,改善道路通行效率.With the continuous development of connected vehicles technology,the possibility of autonomous vehicles joining the traffic flow is gradually increasing,thereby forming a new mixed traffic flow.After comprehensively considering the real-time perception ability of autonomous vehicles for traffic information in a large area and the influence of vehicle-to-vehicle information interaction on lane changes,the concept of attention zones for autonomous vehicles was proposed,and a new hybrid traffic flow cellular automata lane change model was designed under different market penetration rates.The simulations are conducted by changing the proportion of autonomous vehicles,visual range of autonomous vehicles,and the overall traffic flow density.The results show that the new hybrid traffic flow cellular automata lane change model designed in this paper can improve vehicle speed by around 15%and the efficiency of road traffic.

关 键 词：车联网 元胞自动机 换道模型 关注区间 

分 类 号：U491[交通运输工程—交通运输规划与管理]