Outlier detection in traffic data based on the Dirichlet process mixture model-Reference-Cited by-同舟云学术

Outlier detection in traffic data based on the Dirichlet process mixture model

Published:2015-09 Issue:7 Volume:9 Page:773-781
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Ngan Henry Y.T.¹^ORCID,Yung Nelson H.C.²,Yeh Anthony G.O.³

Affiliation:

1. Department of MathematicsHong Kong Baptist UniversityKowloon TongHong Kong

2. Department of Electrical and Electronic EngineeringLaboratory for Intelligent Transportation Systems Research, The University of Hong KongPokfulam RoadHong Kong

3. Geographic/Land Information Center Research CenterDepartment of Urban Planning and DesignFaculty of ArchitectureThe University of Hong KongPokfulam RoadHong Kong

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.2014.0063

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4. WengX.‐X.TanY.DuG.HongQ.: ‘Prediction and identification of urban traffic flow based on features’.IEEE ICARCV 2006 pp.1–6

5. Detection of incidents and events in urban networks;Thomas T.;IET ITS,2009

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