Document Detail


Serious or fatal driver injury rate versus car mass in head-on crashes between cars of similar mass.
MedLine Citation:
PMID:  3580089     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This work was performed to determine relations between car mass and driver injuries (serious or fatal) when cars of similar mass crash into each other head-on. This type of crash is examined because it is considered similar in some respects to a barrier crash. Data from the United States Fatal Accident Reporting System (FARS) are used to examine driver fatality likelihood as a function of car mass when cars of similar mass crash into each other. Pedestrian fatalities involving cars of the same mass are used to estimate exposure. Two additional sources of data (State data from North Carolina and New York) are used to generate information on the number of drivers seriously injured or killed per police reported crash when cars of similar mass crash into each other. The present study finds that the likelihood of driver injury (fatal or serious) when cars of similar mass crash into each other increases with decreasing car mass, both for head-on crashes and for crashes in all directions. The study does not address possible mechanisms that might lead to such relations. All the data analyzed reveal a fairly consistent picture--a driver in a 900 kg car crashing head-on into another 900 kg car is about 2.0 times as likely to be seriously injured or killed as is a driver of a 1800 kg car crashing head-on into another 1800 kg car.
Authors:
L Evans; P Wasielewski
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Accident; analysis and prevention     Volume:  19     ISSN:  0001-4575     ISO Abbreviation:  Accid Anal Prev     Publication Date:  1987 Apr 
Date Detail:
Created Date:  1987-06-29     Completed Date:  1987-06-29     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  1254476     Medline TA:  Accid Anal Prev     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  119-31     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Accidents, Traffic*
Automobiles*
Humans
Models, Biological
Records as Topic
Seat Belts
United States
Wounds and Injuries / etiology,  mortality*

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


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