DETECTION OF TRAFFIC ANOMALIES USING FUZZY LOGIC BASED TECHNIQUES

In this paper, the authors discuss the development of a novel time- indexed traffic anomaly detection algorithm. The algorithm can accommodate "time of day", "type of day", "normal", and "abnormal" qualifiers. Fuzzy composition techniques are used to fuse multiple traffic descriptors in order to determine lane status. Each lane status is then fused to determine an overall road segment status.

• Supplemental Notes:
  • Publication Date: 1998 Published By: IEEE Service Center, Piscataway NJ
• Corporate Authors:

  Genex Technology Inc.

  ,    

  Hong Kong Polytechnic University

  Department of Electrical Engineering, Hung Hom
  Kowloon, Hong Kong  China 

  Systems & Electronics Inc.

  ,    
• Authors:
  • Weil, R
  • Garcia-Ortiz, A
  • Wootton, J R
• Conference:
  • IEEE International Conference on Fuzzy Systems (7th : 1998 : Anchorage, Alaska). Proceedings, IEEE World Congress on Computational Intelligence ... vol. 2
• Publication Date: 1998

Language

• English

Media Info

• Pagination: p. 1177-1181

Subject/Index Terms

• TRT Terms: Automatic incident detection; Fuzzy logic; Fuzzy systems; Neural networks
• Subject Areas: Data and Information Technology;

Filing Info

• Accession Number: 00776803
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM