Application of ant colony decision rule algorithm for up-down short term traffic flow prediction

doi:10.3778/j.issn.1002-8331.2009.06.058

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (6): 203-206.DOI: 10.3778/j.issn.1002-8331.2009.06.058

• 工程与应用 • Previous Articles Next Articles

Application of ant colony decision rule algorithm for up-down short term traffic flow prediction

MEI Hong-biao^1,2,WANG Jian¹,ZHANG Hui-zhe¹

1.CIMS Research Centre，Tongji University，Shanghai 201804，China
2.Application Academy，Jiangxi University of Science and Technology，Ganzhou，Jiangxi 341000，China

Received:2008-01-14 Revised:2008-03-13 Online:2009-02-21 Published:2009-02-21
Contact: MEI Hong-biao

蚁群决策算法在上下游短时交通流预测中的应用

梅宏标^1,2,王坚¹,张慧哲¹

1.同济大学 CIMS研究中心，上海 201804
2.江西理工大学应用科学学院，江西赣州 341000

通讯作者: 梅宏标

Abstract

Abstract: The ant colony decision algorithm gets constructed based on the thoughts of ant colony algorithm and decision tree algorithm.And it is applied for the predicting models of up-down short term traffic flow prediction.Then the algorithm is proved compared with the decision tree algorithm，and at last，the simulation gets results.

Key words: ant colony algorithm, traffic flow, predication, pheromone, data mining

摘要： 根据上下游短时交通流的特性，在深入研究蚁群算法的基础上，利用蚁群思想及决策树思想构造了蚁群决策算法，描述了该算法用于城市道路上下游短时交通流建模预测以及与决策树算法进行了对比，论证了其可行性，最后利用Matlab进行仿真，给出了仿真结果。

关键词: 蚁群算法, 交通流, 预测, 信息素, 数据挖掘

MEI Hong-biao^1,2,WANG Jian¹,ZHANG Hui-zhe¹. Application of ant colony decision rule algorithm for up-down short term traffic flow prediction[J]. Computer Engineering and Applications, 2009, 45(6): 203-206.

梅宏标^1,2,王坚¹,张慧哲¹. 蚁群决策算法在上下游短时交通流预测中的应用[J]. 计算机工程与应用, 2009, 45(6): 203-206.

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Application of ant colony decision rule algorithm for up-down short term traffic flow prediction

蚁群决策算法在上下游短时交通流预测中的应用

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