MOTORWAY INCIDENT DETECTION USING PRINCIPAL COMPONENT ANALYSIS

In this paper, the authors present a method of estimating the probability distribution of incident-free data by using Principal Component Analysis. This technique uses novelty detection by measuring the input's distance to the centroid of the normal data. This technique is applicable to incident detection in dynamic traffic monitoring systems.

• Supplemental Notes:
  • Publication Date: 1997 Published By: Institution of Electrical Engineers, London
• Corporate Authors:

  UNIVERSITY OF NEWCASTLE UPON TYNE, TRANSPORT OPERATIONS RESEARCH GROUP

  ,    

  Great Britain. Welsh Office

  ,    

  TRL

  Crowthorne House, Nine Mile Ride
  Wokingham, Berkshire  United Kingdom  RG40 3GA
• Authors:
  • Chen, Haibo
• Conference:
  • Colloquium on Incident Detection and Management (1997 : London England) Incident detection and management : colloquium
• Publication Date: 1997

Language

• English

Media Info

• Pagination: p. 1/1-1/5

Subject/Index Terms

• TRT Terms: Automatic incident detection; Freeways; Traffic flow
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00787877
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 2000 12:00AM