Segmentation of vehicle detector data for improved k‐nearest neighbours‐based traffic flow prediction-Reference-Cited by-同舟云学术

Segmentation of vehicle detector data for improved k‐nearest neighbours‐based traffic flow prediction

Published:2015-04 Issue:3 Volume:9 Page:264-274
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Bernaś Marcin¹,Płaczek Bartłomiej¹,Porwik Piotr¹,Pamuła Teresa²

Affiliation:

1. Institute of Computer ScienceUniversity of SilesiaBędziń ska 39Sosnowiec41‐200Poland

2. Faculty of TransportSilesian University of TechnologyKrasiń skiego 8Katowice40‐019Poland

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2013.0164

Reference27 articles.

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4. KimT.KimH.LovellD.J.: ‘Traffic flow forecasting: overcoming memoryless property in nearest neighbor non‐parametric regression’.Proc. Intelligent Transportation Systems 2005 pp.965–969

5. MayM.HeckerD.KornerC.ScheiderS.SchulzD.: ‘A vector‐geometry based spatial kNN‐algorithm for traffic frequency predictions’.IEEE Int. Conf. on Data Mining Workshops (ICDMW'08) 2008 pp.442–447

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