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.
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.
出处
《上海大学学报(自然科学版)》
CAS
CSCD
北大核心
2012年第2期197-202,208,共7页
Journal of Shanghai University:Natural Science Edition
基金
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)
关键词
交通流
双车道
驾驶方式
元胞自动机
traffic flow
two-lane highway
driving manner
cellular automata