AUTOMATIC INCIDENT DETECTION (DAI) THROUGH VIDEO PICTURE ANALYSIS

This paper briefly describes the concept of automatic incident detection (DAI) using "picture analysis". The method consists of using powerful computers to analyse pictures of traffic sent in by television cameras placed along the motorway. The experiments used to validate the accuracy of the equipment are also described briefly. This includes the following experiments: 1) the ESCOTA Company network traffic experiment on an urban section of the A8 motorway, where traffic varies from 30,000 - 110,000 vehicles per day; 2) the full scale test carried out by the AREA Company on an urban section of the A43 motorway carrying dense city traffic (110,000 vehicles per day), with daily peaks; 3) the COFIROUTE Company experiment carried out at Tours, which covered many difficult intersections; and 4) the current experiment testing the use of the system in tunnels. For the covering abstract see IRRD 868006.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0890068259
• Corporate Authors:

  ERTICO

  Avenue Henri Jaspar 113
  Brussels, BTE 10-1060  Belgium 
• Authors:
  • Daviet, B
  • ATTIA, J L
  • Fremont, G
• Conference:
  • TOWARDS AN INTELLIGENT TRANSPORT SYSTEM. PROCEEDINGS OF THE FIRST WORLD CONGRESS ON APPLICATIONS OF TRANSPORT TELEMATICS AND INTELLIGENT VEHICLE-HIGHWAY SYSTEMS, NOVEMBER 30 - 3RD DECEMBER 1994, PARIS. VOLUME 5
• Publication Date: 1994

Language

• English

Media Info

• Pagination: p. 2809-14

Subject/Index Terms

• TRT Terms: Conferences; Data collection; Freeways; Incident detection; Information processing; Intelligent transportation systems; Recording; Television; Tunnels; Urban areas
• ITRD Terms: 8531: Case study; 8525: Conference; 8623: Data acquisition; 8655: Data processing; 1632: Incident detection; 2752: Motorway; 6969: Recording; 6949: Television; 3374: Tunnel; 313: Urban area
• Subject Areas: Bridges and other structures; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00676281
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• ISBN: 0-89006-825-9
• Files: ITRD
• Created Date: Apr 12 1995 12:00AM