COMPARATIVE STUDY OF FREEWAY INCIDENT DETECTION ALGORITHMS USING REAL-LIFE INCIDENT DATA

This paper studies the relationship between freeway incident management systems and incident detection data. It compares the performance of three rule-based algorithms and an artificial neural network (ANN) model using real life incident data from the Tokyo Metropolitan Expressways. The algorithms and ANN model are also calibrated and evaluated on separate field data.

• Supplemental Notes:
  • Publication Date: 1998
• Authors:
  • Chung, E
  • Kuwahara, M
  • Yoshii, T
• Publication Date: 1998

Language

• English

Media Info

• Pagination: p. 47-50
• Serial:
  • Seisan kenkyu. Vol. 50, no. 9

Subject/Index Terms

• TRT Terms: Automatic incident detection; Computer algorithms; Freeways
• Subject Areas: Highways;

Filing Info

• Accession Number: 00777225
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM