事件状态下高速公路隧道群的交通流特性分析  

The traffic flow characteristics of highway tunnel groups based on cellular automata under the traffic incidents

作　　者：周林英[1] 韩静[2] 赵忠杰[1] 

机构地区：[1]长安大学电子与控制工程学院 [2]中国人民解放军93313部队机务三中队

出　　处：《中国科技论文》2017年第7期839-844,共6页China Sciencepaper

基　　金：中央高校基本科研业务费专项资金资助项目(2014G1321034)

摘　　要：为研究事件状态下高速公路隧道群交通流的变化规律,建立了事件状态下基于元胞自动机的隧道群交通流模型,首先将已运营隧道群实际路网输入VISSIM仿真软件,对隧道群进行合理分段,结合亿车公里道路交通事故率和平均延误时间求取隧道群各路段的最佳限速值。通过分析隧道群交通流环境特征和影响因素,改进正常状态和事件状态下元胞自动机模型的不同演化规则,并采用MATLAB仿真,分析速度、密度、交通量3个参数的时空变化规律。仿真结果表明,正常状态和事件状态下交通流3个参数的时空变化规律符合实际情况,该结论对事件状态下隧道群交通流的控制和诱导等实际应用具有指导价值。To study the law of traffic flow within expressway tunnel groups under traffic incidents, a traffic flow model based on cellular automata was developed in this study. The network of expressway tunnel groups was imported into the software VISSIM and the group was divided into several sections. The different segments, best max velocity considering the accident rate per billion vehicle kilometer and the average vehicle delay time were calculated. By analyzing the environmental characteristics and influen-cing factors of traffic flow in tunnel group, the evolution rules of cellular automata under normal and traffic incident was im-proved. The traffic flow under normal situation and traffic incident was simulated by MATLAB and the speed, density, flow space-time change law were analyzed. The simulation results showed that the change law of the above traffic parameters is tally with the actual situation, which has significant guiding value in coordination strategy and traffic flow guidance for expressway tunnel groups.

关 键 词：高速公路 隧道群 交通事件 元胞自动机 交通流时空特性 

分 类 号：U491.112[交通运输工程—交通运输规划与管理]