A new method for incident detection on urban arterial roads

This paper presents a Bayesian network based incident detection algorithm for urban arterial roads. The algorithm is capable of detecting lane-blocking incidents whose effects are manifested by patterns of deterioration in traffic conditions. A new detector configuration is proposed to collect lane volume and occupancy data. The traffic signal scheduling is incorporated into incident detection algorithm. A dynamic Bayesian network is constructed and trained to detect incidents. Off-line tests using simulated data are conducted to assess the performance of the algorithm. The testing results are encouraging, and Bayesian network based approach is considered promising.

Language

  • English

Media Info

  • Pagination: 12p
  • Monograph Title: ITS for livable society: proceedings: 11th World Congress on ITS, 18-24 October 2004, Nagoya, Aichi, Japan

Subject/Index Terms

Filing Info

  • Accession Number: 01389232
  • Record Type: Publication
  • Source Agency: ARRB
  • ISBN: 4990223608
  • Files: ITRD, ATRI
  • Created Date: Aug 23 2012 3:16AM