A NEW TRAFFIC INCIDEMT DETECTOR BY PROCESSING THE TRAFFIC SOUNDS

A traffic incident detector processing traffic sounds was developed. This detector automatically recognizes an abnormal sound by sound processing and transmits the images before and after the abnormal sound occurrence to the traffic control center. Some of these images are expected to allow us to analyze the incident events directly. The most important function of this detector is how to discriminate the incident sounds from the other sounds with high precision. A new sound source recognition algorithm, using a neural network with non-linearity and powerful learning mechanisms, was evaluated using actual data collected in a field experiment. Current sound source recognition rate is about 90%. For the covering abstract see ITRD E114174.

• Corporate Authors:

  ERTICO

  326 Avenue Louis
  Brussels,   Belgium  B-1050

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036

  VERTIS

  TORANOMOM 34 MORI BUILDING 1-25-5
  TORANOMON, MINATOKU, TOKYO 105  Japan 
• Authors:
  • SUETSUGI, N
  • NAKAMICHI, H
  • TOYA, M
• Conference:
  • PROCEEDINGS OF THE 7TH WORLD CONGRESS ON INTELLIGENT SYSTEMS
  • Location: Turin , Italy
  • Date: 2000-11-6 to 2000-11-9
• Publication Date: 2000

Language

• English

Media Info

• Features: References;
• Pagination: 7 p.

Subject/Index Terms

• TRT Terms: Conferences; Detection and identification; Detectors; Incident detection; Information processing; Intelligent transportation systems; Noise; Traffic; Traffic control
• ITRD Terms: 8525: Conference; 8655: Data processing; 9115: Detection; 1632: Incident detection; 8735: Intelligent transport system; 2492: Noise; 755: Traffic; 654: Traffic control
• Subject Areas: Environment; Operations and Traffic Management;

Filing Info

• Accession Number: 00937475
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Feb 5 2003 12:00AM