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基于元胞自动机的自动驾驶交通流仿真研究
引用本文:邱小平,马丽娜.基于元胞自动机的自动驾驶交通流仿真研究[J].西华大学学报(自然科学版),2017,36(2):50-54.
作者姓名:邱小平  马丽娜
作者单位:1.西南交通大学交通运输与物流学院,四川 成都 610031
基金项目:四川省科技厅项目2014ZR0091
摘    要:将Arnab Bose自动驾驶模型与经典的NaSch模型相结合,提出一个适用于自动驾驶的单车道元胞自动机交通流模型。利用MATLAB语言对自动驾驶车辆运行情况进行仿真分析,发现模拟结果较好地呈现了自动驾驶环境下的交通流特征。另外,还发现在自动驾驶中设置不同的车头时距对道路通行能力以及拥堵会产生很大的影响,车头时距为0.5 s时的通行能力约是车头时距为3 s的通行能力的4倍,当车头时距从4 s减小为1 s时交通拥堵可降低约95%,可以作为一种缓解拥堵的策略。

关 键 词:元胞自动机    自动驾驶模型    车头间距    车头时距    目标间距
收稿时间:2016-02-27

Research on Automated Driving Traffic Flow Based on the Cellular Automata Model
QIU Xiaoping,MA Lina.Research on Automated Driving Traffic Flow Based on the Cellular Automata Model[J].Journal of Xihua University:Natural Science Edition,2017,36(2):50-54.
Authors:QIU Xiaoping  MA Lina
Affiliation:1.School of Transportation and Logistics, Southwest Jiaotong University, chengdu 610031 China
Abstract:In this paper, a cellular automaton traffic flow model based on automatic driving of a single lane is proposed, which is based on the Arnab Bose automatic driving model and combined with the classic NS model. The running situation of automatic driving vehicle was analyzed by simulation with MATLAB. The study found that the character of the traffic flow in the automatic driving environment is present. The study also found that setting different headway in the automatic driving has a great impact on the road traffic capacity. The headway of 0.5s capacity is about 4 times the headway of 3S capacity, when the headway is reduced from 4S to 1s when the traffic congestion can be reduced by about 95%, which can be used as an important strategy of traffic congestion mitigation.
Keywords:
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