Short-Term Traffic Volume Forecasting with Asymmetric Loss Based on Enhanced KNN Method
Short-Term Traffic Volume Forecasting with Asymmetric Loss Based on Enhanced KNN Method
About this item
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Author / Creator
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
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Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
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Scope and Contents
Contents
Short-term traffic volume forecasting is one of the most essential elements in Intelligent Transportation System (ITS) by providing prediction of traffic condition for traffic management and control applications. Among previous substantial forecasting approaches, K nearest neighbor (KNN) is a nonparametric and data-driven method popular for concise...
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Full title
Short-Term Traffic Volume Forecasting with Asymmetric Loss Based on Enhanced KNN Method
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2216706150
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2216706150
Other Identifiers
ISSN
1024-123X
E-ISSN
1563-5147
DOI
10.1155/2019/4589437
