摘要
用Matlab软件编制皮埃莱(Bierley)模型来产生仿真交通流.在一定参数组合情况下,仿真研究了交通流车队中前后车辆的车头间距变化过程.通过分析这种车头间距的变化曲线,可以明显地观察到交通流无序运动和有序运动之间的转化过程;提出了交通流灰色关联熵模型,并通过该模型对交通流无序转化过程作了分析.结果表明:交通流无序转化过程中存在交通流混沌现象,但其转化过程并不等同于交通流混沌运动的转化过程;交通流从无序运动转化为有序运动的必要条件是从外界获得负熵——信息熵.
The simulation traffic flow is generated based on Bierley car-following model, which is pro- grammed using MATLAB. The changing processes of headway of the front vehicle and the following vehicle in the traffic flow were simulated under the parameters combinations. By analyzing the simula- tion results of changing processes of headway, it is clear from the orbit in phase space that the transi- tion process between disorder motion and order motion clearly. A gray relational entropy model of traffic flow is put forward. The transitional processes of traffic flow were studied from order motion to disorder motion and disorder motion to order motion use the model. The experiment shows that there are chaos in the transitional process of the disorder motion in traffic flow, but the transitional process of traffic flow from order motion is quite different from the process of chaos in traffic flow. It must be obtained the negative entropy-information entropy from the outside that transitional process of traffic flow from disorder motion to order motion.
出处
《武汉理工大学学报（交通科学与工程版）》
2010年第1期113-116,121,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金项目(批准号:50478088)
河北大学基金项目(批准号:0809001)资助
关键词
交通流
跟驰模型
混沌
无序运动
灰色关联熵
traffic flow
car-following model
chaos
disorder motion
gray relational entropy
