The development and testing of incident detection algorithms was based on Los Angeles and Minneapolis freeway surveillance data. Algorithms considered were based on times series and pattern recognition techniques. Attention was given to the effects of geometrics, sensor configuration and weather, and methods were developed for detecting malfunctioning detectors and for identifying the lane of an incident. This, the third volume, describes procedures for implementing software designed for incident detection and the identification of malfunctioning detectors, provides guidelines for choosing a basic incident detection algorithm and threshold set among the candidates offered, and describes procedures for modifying the basic algorithms to account for sensor configuration, geometrics, and other effects. /FHWA/

  • Availability:
  • Supplemental Notes:
    • This volume is the third of four. The others are: Vol. 1, RD-76-19, Summary of Results; Vol. 2, RD-76-20, Research Methodology and Detailed Results; Vol. 4, RD-76-22, Program Documentation for Evaluation, Calibration and Implementation.
  • Corporate Authors:

    Technology Service Corporation

    2811 Wilshire Boulevard
    Santa Monica, CA  United States  90403
  • Authors:
    • Payne, H J
    • Knobel, H C
  • Publication Date: 1976-4

Media Info

  • Pagination: 117 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00142848
  • Record Type: Publication
  • Source Agency: Federal Highway Administration
  • ISBN: 31C3-502
  • Report/Paper Numbers: FHWA-RD-76- 21 Final Rpt., FCP 31C3-502
  • Contract Numbers: DOT-FH-11-8278
  • Files: TRIS, USDOT
  • Created Date: Dec 15 1976 12:00AM