计算机应用研究2017，Vol.34Issue(1)：42-45,4.DOI:10.3969/j.issn.1001-3695.2017.01.008
城市交通网元胞自动机全局流量预测方法
Prediction method of global transportation network flow with cellular automata
摘要
Abstract
In order to solve the issues of traffic managment in the global flow forecast,the paper proposed a new approach to precisely describe the bidirectional traffic load based on vehicle entering and leaving,which driving to different direction at an intersection can be represented as different sides and both ends of a bidirectional road can be represented as two endpoints in a graph.Further,the paper built new local rules based on Cellular Automata that nodes were unit cells and edges between those unit cells were their neighborhoods to improve the blocking-transfer method.Then,an urban traffic network prediction model was proposed by a recursive algorithm to caclulate the traffic flow on each Cellular node.Finally,the actual flow data measured from a city traffic trunk was used to verify the accuracy and efficiency of the prediction model.The result of simulation experi-ments show that the model can significantly promote the capabilities of urban transport management.关键词
城市交通网/元胞自动机/流量预测/阻塞-转移Key words
urban transport network/cellular automata/traffic forecast/blocking-transfer分类
信息技术与安全科学引用本文复制引用
张凤琴,王梦非,管桦,李小青,陈大武,陈桂茸..城市交通网元胞自动机全局流量预测方法[J].计算机应用研究,2017,34(1):42-45,4.基金项目
国家自然科学基金资助项目（71503260）；陕西省自然科学基金资助项目 （）
