The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Collision Type Categorization Based on Crash Causality and Severity Analysis

På svenska

Author

  • Chen Zhang
  • John N. Ivan
  • Thomas Jonsson

Summary, in English

The purpose of this paper was to present an empirical inquiry into the categorization of collision types based on contributing factors and severity distribution. This study used Connecticut crash data from selected two-lane roads originated from police reports from 1996 to 2001. K-means cluster analysis methodology was conducted to categorize 10 collision types into 4 groups according to the similar pattern of their contributing factors. The severity distribution of the collision types was then considered to further divide up or combine the categories. The result of this analysis offers an analytical way at categorizing collisions to relate crash risk to causalities and driver’s misbehaviors. It also provides a crash categorization that can lead to more accurate and specific severity prediction.

Publishing year

2007

Language

English

Publication/Series

Proceedings of the 86th Annual meeting of TRB, CD-ROM

Document type

Conference paper

Publisher

Transportation Research Board, Washington DC, USA

Topic

  • Civil Engineering

Keywords

  • modelling
  • severity
  • crash
  • accident
  • safety
  • road
  • modeling
  • traffic
  • causality

Conference name

86th annual meeting of the Transportation Research Board

Conference date

2007-01-21 - 2007-01-25

Conference place

Washington DC, United States

Status

Published