Short-term traffic volume forecasting : a k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm

Zheng, Zuduo & Su, Dongcai (2014) Short-term traffic volume forecasting : a k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm. Transportation Research Part C : Emerging Technologies, 43(Part 1), pp. 143-157.

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Abstract

To enhance the performance of the k-nearest neighbors approach in forecasting short-term traffic volume, this paper proposed and tested a two-step approach with the ability of forecasting multiple steps. In selecting k-nearest neighbors, a time constraint window is introduced, and then local minima of the distances between the state vectors are ranked to avoid overlappings among candidates. Moreover, to control extreme values’ undesirable impact, a novel algorithm with attractive analytical features is developed based on the principle component. The enhanced KNN method has been evaluated using the field data, and our comparison analysis shows that it outperformed the competing algorithms in most cases.

Impact and interest:

9 citations in Scopus
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6 citations in Web of Science®

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14 since deposited on 16 Feb 2014
5 in the past twelve months

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ID Code: 67380
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Short-term traffic volume forecasting, KNN, Kalman filter, Principle component
DOI: 10.1016/j.trc.2014.02.009
ISSN: 0968-090X
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Elsevier
Copyright Statement: This is the author’s version of a work that was accepted for publication in Transportation Research Part C : Emerging Technologies. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part C : Emerging Technologies, [VOL 43, Part 1 , (2014)] DOI: 10.1016/j.trc.2014.02.009
Deposited On: 16 Feb 2014 22:17
Last Modified: 06 Jul 2015 08:15

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