Document Detail

Development of a collision typology for evaluation of collision avoidance strategies.
MedLine Citation:
PMID:  8323659     Owner:  NLM     Status:  MEDLINE    
This paper summarizes the results of an effort to identify and rank vehicle collision scenarios in order to create a "collision typology" that could aid in the assessment of the potential benefit of accident avoidance technologies. Data from four computerized accident files were used to construct an 18-level collision configuration variable. This variable includes the number of vehicles involved, their relative orientation, intent to turn, relation to intersection, and traffic control at the intersection. Distributions of the collision configuration variable were generated for several factors of interest using 1989 Michigan data. Five of the most prevalent collision types were selected for more detailed review based on the original police accident reports. The case studies lent additional insight into the circumstances of different accident types. Among other findings, the review suggested that in collisions at nonsignalized intersections, older drivers often stopped and then pulled out into oncoming traffic, while younger drivers more often failed to stop at all.
D L Massie; K L Campbell; D F Blower
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Accident; analysis and prevention     Volume:  25     ISSN:  0001-4575     ISO Abbreviation:  Accid Anal Prev     Publication Date:  1993 Jun 
Date Detail:
Created Date:  1993-08-12     Completed Date:  1993-08-12     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  1254476     Medline TA:  Accid Anal Prev     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  241-57     Citation Subset:  IM    
University of Michigan Transportation Research Institute, Ann Arbor 48109-2150.
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MeSH Terms
Accident Prevention*
Accidents, Traffic / prevention & control*,  statistics & numerical data
Age Factors
Data Collection
Middle Aged
Models, Statistical
Risk Factors
Comment In:
Accid Anal Prev. 1994 Jun;26(3):408-10   [PMID:  8011055 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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