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考虑两次改变驾驶方式的双车道交通流元胞自动机模型
引用本文:张健,李兴莉,李志鹏,崔小朝.考虑两次改变驾驶方式的双车道交通流元胞自动机模型[J].上海大学学报(自然科学版),2012(2):197-202,208.
作者姓名:张健  李兴莉  李志鹏  崔小朝
作者单位:1. 太原科技大学应用科学学院,太原030024
2. 同济大学电子与信息工程学院,上海201804
基金项目:国家自然科学基金资助项目(10902076,60904068,10962002,11047003);山西省高等学校优秀青年学术带头人支持计划(2011-06);山西省自然科学基金资助项目(2010011004);太原科技大学博士科研启动经费资助项目(20082017)
摘    要:考虑驾驶员在不同交通环境下会变换驾驶方式的真实情况,建立两次改变驾驶方式的双车道交通流元胞自动机模型(TTChange-CA模型).通过数值模拟发现,2种类型车辆的初始混合比例和换道概率对交通流基本没有影响;与只改变一次驾驶方式的双车道模型(TChange-CA模型)相比,TTChange-CA模型提高了系统的流量、速度和临界密度,增加了道路利用率;与双车道SDNaSch模型和WWH模型相比,该模型的速度、流量及时空图的致密程度介于二者之间,更真实地刻画了现实交通流.

关 键 词:交通流  双车道  驾驶方式  元胞自动机

Two-Lane Traffic Cellular Automata Model Taking into Account Twice Changing of Driving Manners
ZHANG Jian,LI Xing-li,LI Zhi-peng,CUI Xiao-chao.Two-Lane Traffic Cellular Automata Model Taking into Account Twice Changing of Driving Manners[J].Journal of Shanghai University(Natural Science),2012(2):197-202,208.
Authors:ZHANG Jian  LI Xing-li  LI Zhi-peng  CUI Xiao-chao
Affiliation:1(1.School of Applied Science,Taiyuan University of Science and Technology,Taiyuan 030024,China; 2.School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)
Abstract:Drivers tend to change their driving manners frequently.In this paper,a traffic cellular automata model for a two-lane highway,which takes into account such changes twice,referred to as TTChange-CA model,is proposed.Numerical results show that the original mixture proportion and lane changing probabilities of two kinds of vehicles have almost no influence on traffic flow.Compared with TChange-CA model of two-lane road,meaning that there is only one change of driving manners,the TTChange-CA model can increase the traffic flux,speed and the critical density.Therefore it can increase the road utilization rate.The traffic density,flux and compactness of the spatial-temporal diagram for TTChange-CA model are between the two-lane SDNaSch and WWH models,and can better describe the traffic flow.
Keywords:traffic flow  two-lane highway  driving manner  cellular automata
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