摘要
研究了基于改进元胞自动机的智能车辆超车规则。建立了最小纵向变道超车安全距离模型,分析了最小超车安全距离对车辆变道超车的影响。基于改进的双车道元胞自动机模型,在仿真过程中记录诸如交通密度、流量、平均速度等参数。通过MATLAB仿真得出超车时交通流量与车流密度、最小安全距离之间的关系图。结果表明,在安全条件下,基于双车道模型,通过减少安全距离和随机化概率,可以有效提高道路交通流。
This paper studies the overtaking rules of intelligent vehicles based on improved cellular automata.Firstly,the minimum longitudinal lane change safety distance model is established to analyze the influence of the minimum lane change safety distance on vehicle overtaking.Then,based on the improved two-lane cellular automaton model,parameters such as traffic density,flow rate,and average speed are recorded during the simulation.Finally,the relationship between traffic flow and traffic density and minimum safe distance during overtaking is obtained through MATLAB simulation.The results show that under the safe conditions,based on the two-lane model,road traffic flow can be effectively improved by reducing the safety distance and randomization probability.
作者
李庆宇
陈凌珊
Li Qingyu;Chen Lingshan(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《农业装备与车辆工程》
2020年第6期64-69,共6页
Agricultural Equipment & Vehicle Engineering
关键词
元胞自动机
交通流
智能车辆
超车规则
cellular automata
traffic flow
intelligent vehicle
overtaking rule
