INCIDENT DETECTION AT FREEWAY GEOMETRIC BOTTLENECKS. FINAL REPORT

The main goal of this research is to evaluate the performance of incident decision algorithms under different highway geometric conditions on I-4. A particular problem that faces traffic operators at the Orlando Freeway Management Center is how to differentiate between incident and non-incident congestion on I-4 segments that are located at grades and/or at horizontal curves. Traffic flow and incident data on I-4 phase I surveillance system have been collected for a period of 15 months. A set of incident detection algorithms was selected for off-line testing using a total of 909 confirmed incidents (with valid loop data). The set of algorithms includes California Algorithms 7, 8, and 10 and the modified McMaster Algorithm developed by G. Forbes. Three measures of effectiveness were used to evaluate these algorithms: detection rate, false alarm rate, and mean detection time.

  • Corporate Authors:

    University of Central Florida, Orlando

    Transportation Systems Institute, P.O. Box 162450
    Orlando, FL  United States  32816-2450

    Florida Department of Transportation

    Haydon Burns Building, 605 Suwanee Street
    Tallahassee, FL  United States  32301
  • Authors:
    • Al-Deek, H
    • Ishak, S
    • Khan, A A
    • Yarid, J
  • Publication Date: 1995-8

Language

  • English

Media Info

  • Pagination: 136 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00720067
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Report/Paper Numbers: WPI 0510672
  • Files: TRIS, STATEDOT
  • Created Date: Apr 4 1996 12:00AM