The sensitivity of the calculation of ΔV to vehicle and impact parameters
•Crash parameter measurements are sufficiently accurate to predict fatality using ΔV.•ΔV is largely insensitive to many of the input parameter and category values.•A vehicle specific value of the stiffness parameter B should be used.•Direct measurement of crush and vehicle mass (including fluid loss...
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Veröffentlicht in: | Accident analysis and prevention 2013-06, Vol.55, p.144-153 |
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description | •Crash parameter measurements are sufficiently accurate to predict fatality using ΔV.•ΔV is largely insensitive to many of the input parameter and category values.•A vehicle specific value of the stiffness parameter B should be used.•Direct measurement of crush and vehicle mass (including fluid loss) should be used.•The mass of occupants and cargo should be measured directly not estimated.
ΔV is frequently used to describe collision severity, and is often used by accident investigators to estimate speeds of vehicles prior to a collision, and by researchers looking for correlations between severity and outcome. This study identifies how ΔV varies over a wide range of input uncertainties allowing the direct comparison of different methods of input data collection in terms of their effect on uncertainty in the calculation of ΔV.
Software was developed to implement this sensitivity analysis and was validated against examples presented in the CRASH3 manual. The findings are therefore representative of, and relevant to, commercially available tools such as CRASH3 and AIDamage.
It is possible to measure the vehicle and collision parameters with sufficient accuracy to determine ΔV to a level of precision that is useful to predict occupant fatality. In many cases, ΔV is largely insensitive to the input parameter and category values or values determined from photographs may be used. A vehicle specific value of the stiffness parameter B should be used. Direct measurement of crush measurements and vehicle mass (including the best estimates of fluid loss) should be used. Similarly the mass of occupants and cargo should be measured directly rather than estimated from 50th centile values. Calculation of ΔV is sensitive to PDOF which should be measured with a precision of better than ±6°. |
doi_str_mv | 10.1016/j.aap.2013.03.002 |
format | Article |
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ΔV is frequently used to describe collision severity, and is often used by accident investigators to estimate speeds of vehicles prior to a collision, and by researchers looking for correlations between severity and outcome. This study identifies how ΔV varies over a wide range of input uncertainties allowing the direct comparison of different methods of input data collection in terms of their effect on uncertainty in the calculation of ΔV.
Software was developed to implement this sensitivity analysis and was validated against examples presented in the CRASH3 manual. The findings are therefore representative of, and relevant to, commercially available tools such as CRASH3 and AIDamage.
It is possible to measure the vehicle and collision parameters with sufficient accuracy to determine ΔV to a level of precision that is useful to predict occupant fatality. In many cases, ΔV is largely insensitive to the input parameter and category values or values determined from photographs may be used. A vehicle specific value of the stiffness parameter B should be used. Direct measurement of crush measurements and vehicle mass (including the best estimates of fluid loss) should be used. Similarly the mass of occupants and cargo should be measured directly rather than estimated from 50th centile values. Calculation of ΔV is sensitive to PDOF which should be measured with a precision of better than ±6°.</description><identifier>ISSN: 0001-4575</identifier><identifier>EISSN: 1879-2057</identifier><identifier>DOI: 10.1016/j.aap.2013.03.002</identifier><identifier>PMID: 23545267</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Accidental collisions ; Accidents, Traffic ; Biological and medical sciences ; Categories ; Computer Simulation ; Crash parameter ; Delta-V ; Estimates ; Humans ; Mathematical analysis ; Medical sciences ; Miscellaneous ; Prevention and actions ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Sensitivity analysis ; Software ; Uncertainty ; Vehicles</subject><ispartof>Accident analysis and prevention, 2013-06, Vol.55, p.144-153</ispartof><rights>2013 Elsevier Ltd</rights><rights>2014 INIST-CNRS</rights><rights>Copyright © 2013 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c520t-6ed1b2670b343ad540d6cd67b0a3236c02b2908fbac05662ec83ebc2a4b50a8c3</citedby><cites>FETCH-LOGICAL-c520t-6ed1b2670b343ad540d6cd67b0a3236c02b2908fbac05662ec83ebc2a4b50a8c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0001457513000900$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27369495$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23545267$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pride, R.</creatorcontrib><creatorcontrib>Giddings, D.</creatorcontrib><creatorcontrib>Richens, D.</creatorcontrib><creatorcontrib>McNally, D.S.</creatorcontrib><title>The sensitivity of the calculation of ΔV to vehicle and impact parameters</title><title>Accident analysis and prevention</title><addtitle>Accid Anal Prev</addtitle><description>•Crash parameter measurements are sufficiently accurate to predict fatality using ΔV.•ΔV is largely insensitive to many of the input parameter and category values.•A vehicle specific value of the stiffness parameter B should be used.•Direct measurement of crush and vehicle mass (including fluid loss) should be used.•The mass of occupants and cargo should be measured directly not estimated.
ΔV is frequently used to describe collision severity, and is often used by accident investigators to estimate speeds of vehicles prior to a collision, and by researchers looking for correlations between severity and outcome. This study identifies how ΔV varies over a wide range of input uncertainties allowing the direct comparison of different methods of input data collection in terms of their effect on uncertainty in the calculation of ΔV.
Software was developed to implement this sensitivity analysis and was validated against examples presented in the CRASH3 manual. The findings are therefore representative of, and relevant to, commercially available tools such as CRASH3 and AIDamage.
It is possible to measure the vehicle and collision parameters with sufficient accuracy to determine ΔV to a level of precision that is useful to predict occupant fatality. In many cases, ΔV is largely insensitive to the input parameter and category values or values determined from photographs may be used. A vehicle specific value of the stiffness parameter B should be used. Direct measurement of crush measurements and vehicle mass (including the best estimates of fluid loss) should be used. Similarly the mass of occupants and cargo should be measured directly rather than estimated from 50th centile values. Calculation of ΔV is sensitive to PDOF which should be measured with a precision of better than ±6°.</description><subject>Accidental collisions</subject><subject>Accidents, Traffic</subject><subject>Biological and medical sciences</subject><subject>Categories</subject><subject>Computer Simulation</subject><subject>Crash parameter</subject><subject>Delta-V</subject><subject>Estimates</subject><subject>Humans</subject><subject>Mathematical analysis</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Prevention and actions</subject><subject>Public health. Hygiene</subject><subject>Public health. 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Hygiene-occupational medicine</topic><topic>Sensitivity analysis</topic><topic>Software</topic><topic>Uncertainty</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pride, R.</creatorcontrib><creatorcontrib>Giddings, D.</creatorcontrib><creatorcontrib>Richens, D.</creatorcontrib><creatorcontrib>McNally, D.S.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Accident analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pride, R.</au><au>Giddings, D.</au><au>Richens, D.</au><au>McNally, D.S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The sensitivity of the calculation of ΔV to vehicle and impact parameters</atitle><jtitle>Accident analysis and prevention</jtitle><addtitle>Accid Anal Prev</addtitle><date>2013-06-01</date><risdate>2013</risdate><volume>55</volume><spage>144</spage><epage>153</epage><pages>144-153</pages><issn>0001-4575</issn><eissn>1879-2057</eissn><abstract>•Crash parameter measurements are sufficiently accurate to predict fatality using ΔV.•ΔV is largely insensitive to many of the input parameter and category values.•A vehicle specific value of the stiffness parameter B should be used.•Direct measurement of crush and vehicle mass (including fluid loss) should be used.•The mass of occupants and cargo should be measured directly not estimated.
ΔV is frequently used to describe collision severity, and is often used by accident investigators to estimate speeds of vehicles prior to a collision, and by researchers looking for correlations between severity and outcome. This study identifies how ΔV varies over a wide range of input uncertainties allowing the direct comparison of different methods of input data collection in terms of their effect on uncertainty in the calculation of ΔV.
Software was developed to implement this sensitivity analysis and was validated against examples presented in the CRASH3 manual. The findings are therefore representative of, and relevant to, commercially available tools such as CRASH3 and AIDamage.
It is possible to measure the vehicle and collision parameters with sufficient accuracy to determine ΔV to a level of precision that is useful to predict occupant fatality. In many cases, ΔV is largely insensitive to the input parameter and category values or values determined from photographs may be used. A vehicle specific value of the stiffness parameter B should be used. Direct measurement of crush measurements and vehicle mass (including the best estimates of fluid loss) should be used. Similarly the mass of occupants and cargo should be measured directly rather than estimated from 50th centile values. Calculation of ΔV is sensitive to PDOF which should be measured with a precision of better than ±6°.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>23545267</pmid><doi>10.1016/j.aap.2013.03.002</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accidental collisions Accidents, Traffic Biological and medical sciences Categories Computer Simulation Crash parameter Delta-V Estimates Humans Mathematical analysis Medical sciences Miscellaneous Prevention and actions Public health. Hygiene Public health. Hygiene-occupational medicine Sensitivity analysis Software Uncertainty Vehicles |
title | The sensitivity of the calculation of ΔV to vehicle and impact parameters |
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