FUZZY LOGIC BASED INCIDENT DETECTION FOR URBAN DIAMOND INTERCHANGES

This paper documents a fuzzy logic based incident detection model for urban diamond interchanges. Research in incident detection for intersections and arterials is at a very initial stage. Existing algorithms are still far from being robust in dealing with the limitations of available data and the multi-dimensional nature of the incident detection problem. The incident detection model described in this paper is capable of detecting lane-blocking incidents when their effects are manifested by certain patterns of deterioration in traffic conditions and, thereby, adjustments in signal control strategies are required. The model overcomes the boundary condition problem inherent in conventional threshold-based concepts. The model captures system-wide incident effects utilizing multiple measures for more accurate and reliable detection, and serves as a component module of a real-time traffic adaptive diamond interchange control system. The model is designed to be readily scalable and expandable for larger systems of arterial streets.

Language

  • English

Media Info

  • Features: Figures; Tables;
  • Pagination: p. 517-528

Subject/Index Terms

Filing Info

  • Accession Number: 00724770
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 16 1996 12:00AM