Advanced

Collision Type Categorization Based on Crash Causality and Severity Analysis

Zhang, Chen; Ivan, John N. and Jonsson, Thomas LU (2007) 86th annual meeting of the Transportation Research Board In Proceedings of the 86th Annual meeting of TRB, CD-ROM
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
modelling, severity, crash, accident, safety, road, modeling, traffic, causality
in
Proceedings of the 86th Annual meeting of TRB, CD-ROM
pages
21 pages
publisher
Transportation Research Board, Washington DC, USA
conference name
86th annual meeting of the Transportation Research Board
language
English
LU publication?
yes
id
fcc64ebc-a6af-438a-82de-941ae86ffe30 (old id 838785)
date added to LUP
2008-01-08 14:11:58
date last changed
2016-04-16 09:03:17
@misc{fcc64ebc-a6af-438a-82de-941ae86ffe30,
  abstract     = {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.},
  author       = {Zhang, Chen and Ivan, John N. and Jonsson, Thomas},
  keyword      = {modelling,severity,crash,accident,safety,road,modeling,traffic,causality},
  language     = {eng},
  pages        = {21},
  publisher    = {ARRAY(0x5bc5cd8)},
  series       = {Proceedings of the 86th Annual meeting of TRB, CD-ROM},
  title        = {Collision Type Categorization Based on Crash Causality and Severity Analysis},
  year         = {2007},
}