ARTERIAL INCIDENT DETECTION INTEGRATING DATA FROM MULTIPLE SOURCES

An integrated incident detection system for an arterial street network being implemented for the ADVANCE project, an advanced traveler information system demonstration in the northwest suburbs of Chicago, Illinois, is described. Incidents will be detected using three distinct data sources: loop detectors, probe vehicles, and anecdotal sources. Specialized incident detection algorithms will process each of these data types separately. The outputs from the fixed detector, probe vehicle, and anecdotal source algorithms will be integrated by a data fusion process to determine the overall likelihood that an incident has occurred at any particular location. The incident detection system will also estimate the expected duration of the incidents and their effects on link travel times as a function of the type of incident.

Language

  • English

Media Info

  • Features: Figures; References;
  • Pagination: p. 60-69
  • Monograph Title: Traffic flow theory and characteristics with applications for intelligent transportation system technologies
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00715626
  • Record Type: Publication
  • ISBN: 0309062039
  • Files: TRIS, TRB
  • Created Date: Jan 19 1996 12:00AM