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Traffic flow prediction of highway based on wavelet relevance vector machine

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成果类型:
期刊论文
作者:
Liu, Kefei;Xu, Zhisheng
通讯作者:
Liu, K.(kefeiliuu@163.com)
作者机构:
[Liu, Kefei] School of Civil Engineering and Architecture, Central South University, Changsha 410075, China
[Xu, Zhisheng; Liu, Kefei] College of Civil Engineering and Mechanics, Central South University of Forestry and Technology, Changsha 410004, China
通讯机构:
School of Civil Engineering and Architecture, Central South University, China
语种:
英文
关键词:
Highway;Prediction;Regression function;Traffic flow;Wavelet relevance vector machine
期刊:
The Journal of Information and Computational Science
ISSN:
1548-7741
年:
2011
卷:
8
期:
9
页码:
1641-1647
机构署名:
本校为其他机构
院系归属:
土木工程学院
摘要:
Accurate prediction for traffic flow is the key to ensure the reasonable dispatching of traffic flow. In the study, wavelet relevance vector machine is proposed to predict traffic flow of highway. The traffic flow data of a certain highway road from November 27 to November 28 in 2002 are used to study the prediction performance of the proposed method. The traffic flow data are recorded in each interval 15 minutes, then, 192 traffic flow data are gained, where the first 142 traffic flow data are used to train the proposed prediction model and others are used to test the proposed prediction mode...

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