Chapter
Jul 3, 2013
Model of Prediction and Statistics on Time Pattern of Traffic Flow
Authors: Zhao Liu [email protected], Jingxian Liu [email protected], Yuxia Liu, and Kai WangAuthor Affiliations
Publication: ICTIS 2013: Improving Multimodal Transportation Systems-Information, Safety, and Integration
Abstract
Time pattern of traffic flow is one of the important features of vessel traffic flow. It indicates the aggregation and dispersion degree and reflects the risk of the vessel traffic flow. The model is constructed for doing statistical analysis and prediction to the time pattern of traffic flow by Mathematical statistics and Theory of Forecasting. The prediction model can be used to forecast the future time pattern of traffic flow by parameters of the statistic model. The time pattern of traffic flow of Tianjin Port is statistically analyzed and forecasted to judge risk of time pattern of traffic flow.
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Published In
ICTIS 2013: Improving Multimodal Transportation Systems-Information, Safety, and Integration
Pages: 2341 - 2350
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© 2013 American Society of Civil Engineers.
History
Published online: Jul 3, 2013
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Authors
Affiliations
Postgraduate, Wuhan University of Technology, Wuhan, 430063, China. E-mail: [email protected]
Professor, Wuhan University of Technology, Wuhan, 430063, China. E-mail: [email protected]
Yuxia Liu
Postgraduate, Wuhan University of Technology, Wuhan, 430063, China
Kai Wang
Postgraduate, Wuhan University of Technology, Wuhan, 430063, China
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.