考虑前车效应的一维元胞自动机混合交通流模型研究  

Study on the Mixed Traffic Flow Model of One-dimensional Cellular Automata Considering Forward Car Effect

作　　者：张锦 符鼎俊 李启朗 ZHANG Jin;FU Dingjun;LI Qilang(School of Mathematics and Physics,Anhui Jianzhu University,Hefei 230601,China)

机构地区：[1]安徽建筑大学数理学院,安徽合肥230601

出　　处：《安徽建筑大学学报》2021年第1期83-89,共7页Journal of Anhui Jianzhu University

基　　金：安徽省自然科学基金面上项目(1708085MA19);安徽省教育厅重点项目(KJ2019A0783)。

摘　　要：针对以往一维元胞自动机交通流模型中急刹车的问题,考虑了混合交通流中两个连续车辆之间的速度差以及加速行为差异,基于慢启动规则提出了一个新的元胞自动机交通流模型,减速幅度大小及慢化概率与速度差相关。通过计算机数值模拟,从基本图中分析发现大型车辆占比对于系统的道路占有率临界值与最大平均流量影响显著,并且新模型提高了中高密度区域的流量;得出的时空图及速度统计表明新模型可以抑制阻塞的形成,延缓了完全静止阻塞现象的发生,使得小集团阻塞稳定存在于系统中并提高了交通系统的稳定性。Aiming at the problem of sudden braking in the traffic flow model of one-dimensional cellular automata,considering the speed difference and acceleration behavior difference between the two continuous vehicles in the mixed traffic flow,a new cellular automata traffic flow model is proposed based on the slow start rule,the deceleration amplitude and the deceleration probability are related to the speed difference.Through the computer numerical simulation,it is found from the fundamental diagram that the large vehicles occupancy has a significant effect on the critical value of road occupancy and the maximum average flow rate of the system,and the new model improves the flow rate in the middle and high density region;the time—space diagram and velocity statistics show that the new model can inhibit the formation of blocking,delay the occurrence of complete static blocking,make small group blocking stable in the system and improve the stability of traffic system.

关 键 词：元胞自动机 混合交通流 计算机模拟 

分 类 号：TU391[建筑科学—结构工程]