Development Testing and Evaluation of Advanced Techniques for Freeway Incident Detection

In this research, the authors introduce and define a universal incident detection framework that is capable of fulfilling all components of a set of recognized needs. An algorithm is presented that has the potential to fulfill the defined universality requirements. It is a modified form of a probabilistic neural network (PNN) that utilizes the concept of statistical distance. The first part of the report presents a definition of the attributes and capabilities that a potentially universal freeway incident detection framework should possess. The second part discusses the training and testing of the PNN. The third section evaluates the PNN relative to the proposed universality template. In addition to a large set of simulated incidents, the authors utilize a large real incident database from the I-880 freeway in California to comparatively evaluate the performance and transferability of different algorithms including the PNN.

• Record URL:
  • https://merritt.cdlib.org/d/ark%3A%2F13030%2Fm5xw7pfg/1/producer%2FPWP-97-22.pdf
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/37391979
• Corporate Authors:

  University of California, Berkeley

  California PATH Program, Institute of Transportation Studies
  Richmond Field Station, 1357 South 46th Street
  Richmond, CA  United States  94804-4648

  University of California, Irvine

  Irvine, CA  United States 

  California Department of Transportation

  1120 N Street
  Sacramento, CA  United States  95814
• Authors:
  • Ritchie, Stephen Graham
  • Abdulhai, Baher
• Publication Date: 1997-7

Language

• English

Media Info

• Media Type: Digital/other
• Pagination: iii, 30 p.
• Serial:
  • PATH Working Paper
  • Publisher: University of California, Berkeley
  • ISSN: 1055-1417

Subject/Index Terms

• TRT Terms: Automatic incident detection; Freeways; Neural networks
• Subject Areas: Data and Information Technology; Highways; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00775531
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Report/Paper Numbers: UCB-ITS-PWP-97-22
• Files: PATH, CALTRANS, TRIS, ATRI, STATEDOT
• Created Date: Nov 17 1999 12:00AM