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考虑行车状态的一维元胞自动机交通流模型
引用本文:花伟,林柏梁.考虑行车状态的一维元胞自动机交通流模型[J].物理学报,2005,54(6):2595-2599.
作者姓名:花伟  林柏梁
作者单位:北京交通大学交通运输智能技术和系统教育部重点实验室,北京 100044
基金项目:国家自然科学基金重大研究计划资助课题(批准号:90211004)和浙江省自然科学基金(批准号:102009)资助的课题.
摘    要:在Nagel Schrekenberg单车道元胞自动机交通流模型(简称NS模型)的基础上,考虑车辆之间的相对运动薛郁等提出了一种改进的单车道元胞自动机交通流模型(简称改进的NS模型).通过两种情况列出了改进的NS模型存在不尽周严的地方,随之在新模型中引入了行车状态 变量和反馈规则,从而控制车辆出现倒车和刹车过急等现象.通过计算机对新模型进行模拟 ,发现减速概率和车流密度对车流状态的演化影响很大,当减速概率高(如道路条件差)时 ,即使车流密度低,车流也会出现局部堵塞状态;而当减速概率一定时,随着车流密度增加 ,车流的运动相与堵塞相发生了全局性的交替出现,此时类似于波的波峰和波谷的传播.与 改进的NS模型相比较,新模型模拟的车流量较高,说明新模型减少了车流的总体停滞状态. 关键词: 交通流 元胞自动机 行车状态 反馈规则

关 键 词:交通流  元胞自动机  行车状态  反馈规则
文章编号:1000-3290/2005/54(06)2595-05
收稿时间:2004-06-28

One-dimensional traffic cellular automaton model with considering the vehicle moving status
Hua Wei,Lin Bo-Liang.One-dimensional traffic cellular automaton model with considering the vehicle moving status[J].Acta Physica Sinica,2005,54(6):2595-2599.
Authors:Hua Wei  Lin Bo-Liang
Abstract:Based on the single lane traffic cellular automaton(CA) model introduced by Nagel and Schreckenberg(called NS model), Xue Yu et al proposed an improved single lane traffic CA model by considering the relative motion of vehicles(called i mproved NS model).Several faults in the improved NS model using two examples is pointed out and also another single lane traffic CA model by introducing vehicle _moving_status variable and feedback rule is proposed. These methods help to pre vent vehicle from moving backward and stopping hurry. Numerical simulations are carried out and the results indicate that the deceleration probability and traff ic density have a heavy impact on the evolution process of traffic flow. Under t he condition of high deceleration probability, there may happen local traffic ja ms even with low traffic density. And with a constant deceleration probability, the global free phases and jam phases will appear alternately as the traffic den sity increases to a certain level. The phenomenon is very similar to the propaga tion of wave. The traffic flow is higher in the new model than in the improved N S model. This proves that the stop status of the whole traffic flow has been imp roved.
Keywords:traffic flow  cellular automata  vehicle moving status  feedback rule
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