郑州轻工业学院学报（自然科学版）2012，Vol.27Issue(6)：21-23,31,4.DOI:10.3969/j.issn.2095-476X.2012.06.006
基于马尔柯夫过程的交叉路口车流量预测模型研究
Study on vehicle flowrate prediction model of crossroads based on Markov process
蒋亚平 1郭俊亮1
作者信息
- 1. 郑州轻工业学院计算机与通信工程学院,河南郑州450001
- 折叠
摘要
Abstract
In order to predict the flow of vehicles of the each phase in the crossroads traffic controlling system , which can reasonable distribute the time of the each phase in one signal period, the vehicle flowrate prediction model of crossroads was built, this model uses the Markov analysis method and define the each phase as the current state, after the fragment of the time, as long as the system master the possibility of the transform the phase to another phase, the system can work out the corresponding control strategy. Experimental results showed that the errors between prediction of the flow of vehicles and the actual flow were small,and the method was feasible in the short-term traffic prediction.关键词
马尔柯夫过程/交叉路口短时交通预测/车流量预测Key words
Markov process/crossroads short-term traffic prediction/vehicle flowrate prediction分类
交通工程引用本文复制引用
蒋亚平,郭俊亮..基于马尔柯夫过程的交叉路口车流量预测模型研究[J].郑州轻工业学院学报（自然科学版）,2012,27(6):21-23,31,4.
