IDENTIFYING SIMILARITIES AND DISSIMILARITIES AMONG ROAD ACCIDENT PATTERNS

This paper proposes a method of analysis of descriptive accident features that enables the comparison of highway accident patterns. The patterns are derived from cross tabulation of qualitative features of highway accidents and some ratios are defined to join together pieces of information coming from the patterns. Two aspects are considered: proportional similarity and structural similarity of highway accident patterns. The paper also provides an algorithm that makes use of the ratios and cluster analysis in identifying accident patterns predominant in the national highway network.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0080439268
• Corporate Authors:

  Elsevier

  The Boulevard, Langford Lane
  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • Nowakowska, M
• Conference:
  • Transportation and Traffic Theory in the 21st Century. Proceedings of the 15th International Symposium on Transportation and Traffic Theory
  • Location: University of South Australia in Adelaide, Austral
  • Date: 2002-7-16 to 2002-7-18
• Publication Date: 2002

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 267-286

Subject/Index Terms

• TRT Terms: Cluster analysis; Crash analysis; Crash characteristics; Crash types; Networks; Pattern recognition systems; Safety; Traffic crashes
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 00929739
• Record Type: Publication
• ISBN: 0080439268
• Files: TRIS, ATRI
• Created Date: Aug 2 2002 12:00AM