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.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/4990223608
• Authors:
  • Zhang, K
  • Taylor, M A
• Conference:
  • World Congress on ITS, 11th, 2004, Nagoya, Aichi, Japan
• Publication Date: 2004

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

• TRT Terms: Arterial highways; Automatic incident detection; Intelligent transportation systems; Mathematical models; Traffic flow; Urban highways; Vehicle occupancy
• ATRI Terms: Arterial road; Automatic incident detection; Intelligent transport systems (ITS); Modelling; Traffic flow; Urban road; Vehicle occupancy
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

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