Multiobjective optimization algorithm for accurate MADYMO reconstruction of vehicle-pedestrian accidents

In vehicle–pedestrian accidents, the preimpact conditions of pedestrians and vehicles are frequently uncertain. The incident data for a crash, such as vehicle deformation, injury of the victim, distance of initial position and rest position of accident participants, are useful for verification in MA...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Frontiers in bioengineering and biotechnology Ročník 10; s. 1032621
Hlavní autori:	Zou, Donghua, Fan, Ying, Liu, Ningguo, Zhang, Jianhua, Liu, Dikun, Liu, Qingfeng, Li, Zhengdong, Wang, Jinming, Huang, Jiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Media SA 05.12.2022 Frontiers Media S.A
Predmet:	accident reconstruction Accidents Aerial photography Algorithms Bioengineering and Biotechnology Forensic sciences Genetic algorithms Injuries Investigations Kinematics Mathematical models Methods multibody simulation multiobjective optimization algorithm Optimization pedestrian injury Simulation Software traffic accident Traffic accidents & safety Unmanned aerial vehicles China multibody simulation accident reconstruction multiobjective optimization algorithm traffic accident pedestrian injury
ISSN:	2296-4185, 2296-4185
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	In vehicle–pedestrian accidents, the preimpact conditions of pedestrians and vehicles are frequently uncertain. The incident data for a crash, such as vehicle deformation, injury of the victim, distance of initial position and rest position of accident participants, are useful for verification in MAthematical DYnamic MOdels (MADYMO) simulations. The purpose of this study is to explore the use of an improved optimization algorithm combined with MADYMO multibody simulations and crash data to conduct accurate reconstructions of vehicle–pedestrian accidents. The objective function of the optimization problem was defined as the Euclidean distance between the known vehicle, human and ground contact points, and multiobjective optimization algorithms were employed to obtain the local minima of the objective function. Three common multiobjective optimization algorithms—nondominated sorting genetic algorithm-II (NSGA-II), neighbourhood cultivation genetic algorithm (NCGA), and multiobjective particle swarm optimization (MOPSO)—were compared. The effect of the number of objective functions, the choice of different objective functions and the optimal number of iterations were also considered. The final reconstructed results were compared with the process of a real accident. Based on the results of the reconstruction of a real-world accident, the present study indicated that NSGA-II had better convergence and generated more noninferior solutions and better final solutions than NCGA and MOPSO. In addition, when all vehicle-pedestrian-ground contacts were considered, the results showed a better match in terms of kinematic response. NSGA-II converged within 100 generations. This study indicated that multibody simulations coupled with optimization algorithms can be used to accurately reconstruct vehicle-pedestrian collisions.
AbstractList	In vehicle–pedestrian accidents, the preimpact conditions of pedestrians and vehicles are frequently uncertain. The incident data for a crash, such as vehicle deformation, injury of the victim, distance of initial position and rest position of accident participants, are useful for verification in MAthematical DYnamic MOdels (MADYMO) simulations. The purpose of this study is to explore the use of an improved optimization algorithm combined with MADYMO multibody simulations and crash data to conduct accurate reconstructions of vehicle–pedestrian accidents. The objective function of the optimization problem was defined as the Euclidean distance between the known vehicle, human and ground contact points, and multiobjective optimization algorithms were employed to obtain the local minima of the objective function. Three common multiobjective optimization algorithms—nondominated sorting genetic algorithm-II (NSGA-II), neighbourhood cultivation genetic algorithm (NCGA), and multiobjective particle swarm optimization (MOPSO)—were compared. The effect of the number of objective functions, the choice of different objective functions and the optimal number of iterations were also considered. The final reconstructed results were compared with the process of a real accident. Based on the results of the reconstruction of a real-world accident, the present study indicated that NSGA-II had better convergence and generated more noninferior solutions and better final solutions than NCGA and MOPSO. In addition, when all vehicle-pedestrian-ground contacts were considered, the results showed a better match in terms of kinematic response. NSGA-II converged within 100 generations. This study indicated that multibody simulations coupled with optimization algorithms can be used to accurately reconstruct vehicle-pedestrian collisions. In vehicle-pedestrian accidents, the preimpact conditions of pedestrians and vehicles are frequently uncertain. The incident data for a crash, such as vehicle deformation, injury of the victim, distance of initial position and rest position of accident participants, are useful for verification in MAthematical DYnamic MOdels (MADYMO) simulations. The purpose of this study is to explore the use of an improved optimization algorithm combined with MADYMO multibody simulations and crash data to conduct accurate reconstructions of vehicle-pedestrian accidents. The objective function of the optimization problem was defined as the Euclidean distance between the known vehicle, human and ground contact points, and multiobjective optimization algorithms were employed to obtain the local minima of the objective function. Three common multiobjective optimization algorithms-nondominated sorting genetic algorithm-II (NSGA-II), neighbourhood cultivation genetic algorithm (NCGA), and multiobjective particle swarm optimization (MOPSO)-were compared. The effect of the number of objective functions, the choice of different objective functions and the optimal number of iterations were also considered. The final reconstructed results were compared with the process of a real accident. Based on the results of the reconstruction of a real-world accident, the present study indicated that NSGA-II had better convergence and generated more noninferior solutions and better final solutions than NCGA and MOPSO. In addition, when all vehicle-pedestrian-ground contacts were considered, the results showed a better match in terms of kinematic response. NSGA-II converged within 100 generations. This study indicated that multibody simulations coupled with optimization algorithms can be used to accurately reconstruct vehicle-pedestrian collisions.In vehicle-pedestrian accidents, the preimpact conditions of pedestrians and vehicles are frequently uncertain. The incident data for a crash, such as vehicle deformation, injury of the victim, distance of initial position and rest position of accident participants, are useful for verification in MAthematical DYnamic MOdels (MADYMO) simulations. The purpose of this study is to explore the use of an improved optimization algorithm combined with MADYMO multibody simulations and crash data to conduct accurate reconstructions of vehicle-pedestrian accidents. The objective function of the optimization problem was defined as the Euclidean distance between the known vehicle, human and ground contact points, and multiobjective optimization algorithms were employed to obtain the local minima of the objective function. Three common multiobjective optimization algorithms-nondominated sorting genetic algorithm-II (NSGA-II), neighbourhood cultivation genetic algorithm (NCGA), and multiobjective particle swarm optimization (MOPSO)-were compared. The effect of the number of objective functions, the choice of different objective functions and the optimal number of iterations were also considered. The final reconstructed results were compared with the process of a real accident. Based on the results of the reconstruction of a real-world accident, the present study indicated that NSGA-II had better convergence and generated more noninferior solutions and better final solutions than NCGA and MOPSO. In addition, when all vehicle-pedestrian-ground contacts were considered, the results showed a better match in terms of kinematic response. NSGA-II converged within 100 generations. This study indicated that multibody simulations coupled with optimization algorithms can be used to accurately reconstruct vehicle-pedestrian collisions.
Author	Wang, Jinming Liu, Ningguo Liu, Dikun Liu, Qingfeng Fan, Ying Huang, Jiang Zhang, Jianhua Zou, Donghua Li, Zhengdong
AuthorAffiliation	1 School of Forensic Medicine , Guizhou Medical University , Guiyang , China 2 Shanghai Key Laboratory of Forensic Medicine , Shanghai Forensic Service Platform , Academy of Forensic Science , Ministry of Justice , Shanghai , China
AuthorAffiliation_xml	– name: 1 School of Forensic Medicine , Guizhou Medical University , Guiyang , China – name: 2 Shanghai Key Laboratory of Forensic Medicine , Shanghai Forensic Service Platform , Academy of Forensic Science , Ministry of Justice , Shanghai , China
Author_xml	– sequence: 1 givenname: Donghua surname: Zou fullname: Zou, Donghua – sequence: 2 givenname: Ying surname: Fan fullname: Fan, Ying – sequence: 3 givenname: Ningguo surname: Liu fullname: Liu, Ningguo – sequence: 4 givenname: Jianhua surname: Zhang fullname: Zhang, Jianhua – sequence: 5 givenname: Dikun surname: Liu fullname: Liu, Dikun – sequence: 6 givenname: Qingfeng surname: Liu fullname: Liu, Qingfeng – sequence: 7 givenname: Zhengdong surname: Li fullname: Li, Zhengdong – sequence: 8 givenname: Jinming surname: Wang fullname: Wang, Jinming – sequence: 9 givenname: Jiang surname: Huang fullname: Huang, Jiang
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/36545682$$D View this record in MEDLINE/PubMed
BookMark	eNp9Uk1P3DAQtSoQUMof6KGK1EsvWfyR-ONSCVFokVhxaQ-cLMcZ73qVxFvHWYn--no_qIBDT7Zn3jy_mXnv0dEQBkDoI8EzxqS6dI0PMKOY0hnBjHJK3qEzShUvKyLroxf3U3QxjiuMMaG1qCU9QaeM11XNJT1Dy_nUJR-aFdjkN1CEdfK9_2NybChMtwjRp2VfuBALY-0UTYJifvXtcf5QRLBhGFOc7A4cXLGBpbcdlGtoISe8GbZFvoUhjR_QsTPdCBeH8xz9ur35ef2jvH_4fnd9dV_aSvFUtqQylruWKBBCcIlBqgZqhSuhuKLgQOYuVIuxcdzKhlgmiGNNQ43ND2Dn6G7P2waz0uvoexOfdDBe7wIhLrSJaStTV8wJZ7Fj3JH8OVOSGIlda1yNRaNM5vq651pPTQ-tzX1E070ifZ0Z_FIvwkYrwbGoqkzw5UAQw-8pz0T3frTQdWaAMI2ailoQTnFNM_TzG-gqTHHIo9KMCoYrKYnKqE8vFf2T8rzQDJB7gI1hHCM4bX3abTML9J0mWG_to3f20Vv76IN9cil9U_rM_p-iv44Ly0k
CitedBy_id	crossref_primary_10_3390_app13169404 crossref_primary_10_3390_app14073087 crossref_primary_10_1016_j_aap_2024_107726 crossref_primary_10_3390_app142210738
Cites_doi	10.1080/20961790.2021.1875582 10.1177/00368504211011347 10.1016/j.jflm.2019.04.006 10.1080/15389588.2020.1821882 10.1080/15389588.2020.1866177 10.1016/j.ijimpeng.2008.01.012 10.3901/jme.2020.02.106 10.3389/fbioe.2021.768994 10.1080/15389588.2020.1829917 10.1016/j.forsciint.2022.111213 10.1080/20961790.2021.1879365 10.1016/j.forsciint.2018.09.019 10.1109/SIS.2003.1202243 10.1016/j.injury.2020.09.025 10.3969/j.issn.1004-5619.2017.06.001 10.1111/j.1525-1594.2010.01117.x 10.1016/j.scijus.2020.10.006 10.3389/fbioe.2019.00429 10.1007/s11356-018-3971-1 10.1080/13588265.2020.1774482 10.1109/4235.996017 10.1016/j.forsciint.2016.10.007 10.1016/j.watres.2019.114863 10.1016/j.aap.2014.04.021 10.4271/983150 10.1016/j.forsciint.2015.08.025 10.4028/www.scientific.net/amr.250-253.2833 10.1177/0954407018754663 10.1016/j.asoc.2021.107725 10.3389/fbioe.2021.677982 10.1016/j.aap.2022.106718 10.1016/j.trc.2014.09.004 10.1016/j.triboint.2015.12.051 10.1080/15389588.2012.733841 10.1016/j.aap.2011.07.022
ContentType	Journal Article
Copyright	Copyright © 2022 Zou, Fan, Liu, Zhang, Liu, Liu, Li, Wang and Huang. 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2022 Zou, Fan, Liu, Zhang, Liu, Liu, Li, Wang and Huang. 2022 Zou, Fan, Liu, Zhang, Liu, Liu, Li, Wang and Huang
Copyright_xml	– notice: Copyright © 2022 Zou, Fan, Liu, Zhang, Liu, Liu, Li, Wang and Huang. – notice: 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Copyright © 2022 Zou, Fan, Liu, Zhang, Liu, Liu, Li, Wang and Huang. 2022 Zou, Fan, Liu, Zhang, Liu, Liu, Li, Wang and Huang
DBID	AAYXX CITATION NPM 3V. 7X7 7XB 88E 8FE 8FH 8FI 8FJ 8FK ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU COVID DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M7P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS 7X8 5PM DOA
DOI	10.3389/fbioe.2022.1032621
DatabaseName	CrossRef PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College Coronavirus Research Database ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) ProQuest Biological Science Collection Health & Medical Collection (Alumni Edition) PML(ProQuest Medical Library) Biological Science Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ : Directory of Open Access Journals [open access]
DatabaseTitle	CrossRef PubMed Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Coronavirus Research Database ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic
DatabaseTitleList	MEDLINE - Academic Publicly Available Content Database CrossRef PubMed
Database_xml	– sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
DocumentTitleAlternate	Zou et al
EISSN	2296-4185
ExternalDocumentID	oai_doaj_org_article_43f7fc0f36f14963981a80fdaf507b9a PMC9760744 36545682 10_3389_fbioe_2022_1032621
Genre	Journal Article
GeographicLocations	China
GeographicLocations_xml	– name: China
GroupedDBID	53G 5VS 9T4 AAFWJ AAYXX ACGFS ADBBV ADRAZ AFPKN ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL BCNDV CITATION DIK GROUPED_DOAJ GX1 HYE KQ8 M48 M~E OK1 PGMZT RPM ACXDI IAO IEA IHR IPNFZ ISR NPM RIG 3V. 7X7 7XB 88E 8FE 8FH 8FI 8FJ 8FK ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU COVID DWQXO FYUFA GNUQQ HCIFZ K9. LK8 M1P M7P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS 7X8 5PM
ID	FETCH-LOGICAL-c496t-d14ac6fd19e777680e89be590479692efe82579d00af6c8b1c371f3bb2acb1ce3
IEDL.DBID	DOA
ISICitedReferencesCount	4
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000900212800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	2296-4185
IngestDate	Fri Oct 03 12:42:30 EDT 2025 Thu Aug 21 18:39:00 EDT 2025 Thu Sep 04 18:49:14 EDT 2025 Mon Nov 24 21:42:44 EST 2025 Thu Jan 02 22:54:28 EST 2025 Sat Nov 29 05:43:02 EST 2025 Tue Nov 18 22:17:41 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Keywords	multibody simulation accident reconstruction multiobjective optimization algorithm traffic accident pedestrian injury
Language	English
License	Copyright © 2022 Zou, Fan, Liu, Zhang, Liu, Liu, Li, Wang and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c496t-d14ac6fd19e777680e89be590479692efe82579d00af6c8b1c371f3bb2acb1ce3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Fang Wang, Changsha University of Science and Technology, China Edited by: Ajay Seth, Delft University of Technology, Netherlands Reviewed by: Riender Happee, Delft University of Technology, Netherlands These authors have contributed equally to this work and share first authorship This article was submitted to Biomechanics, a section of the journal Frontiers in Bioengineering and Biotechnology
OpenAccessLink	https://doaj.org/article/43f7fc0f36f14963981a80fdaf507b9a
PMID	36545682
PQID	3273048819
PQPubID	7426804
ParticipantIDs	doaj_primary_oai_doaj_org_article_43f7fc0f36f14963981a80fdaf507b9a pubmedcentral_primary_oai_pubmedcentral_nih_gov_9760744 proquest_miscellaneous_2757162052 proquest_journals_3273048819 pubmed_primary_36545682 crossref_citationtrail_10_3389_fbioe_2022_1032621 crossref_primary_10_3389_fbioe_2022_1032621
PublicationCentury	2000
PublicationDate	2022-12-05
PublicationDateYYYYMMDD	2022-12-05
PublicationDate_xml	– month: 12 year: 2022 text: 2022-12-05 day: 05
PublicationDecade	2020
PublicationPlace	Switzerland
PublicationPlace_xml	– name: Switzerland – name: Lausanne
PublicationTitle	Frontiers in bioengineering and biotechnology
PublicationTitleAlternate	Front Bioeng Biotechnol
PublicationYear	2022
Publisher	Frontiers Media SA Frontiers Media S.A
Publisher_xml	– name: Frontiers Media SA – name: Frontiers Media S.A
References	Mondal (B25) 2016; 97 Zou (B47) 2015; 257 Peng (B34) 2013; 14 Wang (B43) 2022; 333 Coello (B3) 2007 Martinez (B23) Li (B19) 2009; 17 Gobeyn (B13) 2019; 163 Shirazi (B36) 2021; 112 Nogayeva (B29) 2021; 61 Wang (B42) 2020; 27 Park (B33) Wang (B41) 2022; 173 Wang (B40) 2021; 9 Happee (B14) 1998 Hu (B16) 2020; 56 Dai (B5) 2019; 26 Zou (B46) 2019; 65 Durante (B8) 2019; 7 Shi (B35) (B31) 2018 Coley (B4) 2001 Wang (B39) 2021; 43 (B22) 2013 Watanabe (B44) 2002; 43 Feng (B11) 2013; 24 Jiao (B18) 2018; 292 Ming (B24) 2014; 48 Zou (B48) 2018; 233 Gao (B12) 2020; 21 Zheng (B45) 2011 Chen (B2) 2021; 6 Ishida (B17) 2011; 35 Deb (B6) 2002; 6 Elliott (B9) 2012; 45 Li (B21) 2021; 7 Untaroiu (B38) 2009; 36 Nie (B28) 2014; 71 Okamoto (B30) Sun (B37) 2017; 33 Zou (B49) 2017; 270 Li (B20) 2021; 9 Panday (B32) 2021; 22 Monfort (B26) 2020; 21 Feng (B10) 2018; 31 Mostaghim (B27) Happee (B15) 2000 Airaksinen (B1) 2020; 51 Dong (B7) 2021; 104
References_xml	– volume: 7 year: 2021 ident: B21 article-title: Preliminary study on the mechanisms of ankle injuries under falling and impact conditions based on the thums model publication-title: Forensic Sciences Research doi: 10.1080/20961790.2021.1875582 – volume: 104 start-page: 003685042110113 year: 2021 ident: B7 article-title: Structure optimization of gasket based on orthogonal experiment and NSGA-II publication-title: Sci. Prog. doi: 10.1177/00368504211011347 – ident: B23 article-title: Stiffness Corridors of the European Fleet for pedestrian simulations – volume: 65 start-page: 15 year: 2019 ident: B46 article-title: Prediction of injury risks and features among scooter riders through MADYMO reconstruction of a scooter-microvan accident: Identifying the driver and passengers publication-title: J. Forensic Leg. Med. doi: 10.1016/j.jflm.2019.04.006 – volume: 21 start-page: 563 year: 2020 ident: B12 article-title: A study on cyclist head injuries based on an electric-bicycle to car accident reconstruction publication-title: Traffic Inj. Prev. doi: 10.1080/15389588.2020.1821882 – volume: 22 start-page: 173 year: 2021 ident: B32 article-title: Prediction of lower extremity injuries in car-pedestrian crashes - real-world accident study publication-title: Traffic Inj. Prev. doi: 10.1080/15389588.2020.1866177 – volume: 36 start-page: 210 year: 2009 ident: B38 article-title: Crash reconstruction of pedestrian accidents using optimization techniques publication-title: Int. J. Impact Eng. doi: 10.1016/j.ijimpeng.2008.01.012 – volume-title: Evolutionary algorithms for solving multi-objective problems year: 2007 ident: B3 – volume: 56 start-page: 106 year: 2020 ident: B16 article-title: Study on the effect of Age on the lower extremity injury of pedestrians publication-title: J. Mech. Eng. doi: 10.3901/jme.2020.02.106 – volume: 9 start-page: 768994 year: 2021 ident: B20 article-title: Realistic reference for evaluation of vehicle safety Focusing on pedestrian head protection observed from kinematic reconstruction of real-world collisions publication-title: Front. Bioeng. Biotechnol. doi: 10.3389/fbioe.2021.768994 – volume: 21 start-page: S165 year: 2020 ident: B26 article-title: Pedestrian injuries from cars and SUVs: Updated crash outcomes from the vulnerable road user injury prevention alliance (VIPA) publication-title: Traffic Inj. Prev. doi: 10.1080/15389588.2020.1829917 – volume: 333 start-page: 111213 year: 2022 ident: B43 article-title: Uncertain inverse traffic accident reconstruction by combining the modified arbitrary orthogonal polynomial expansion and novel optimization technique publication-title: Forensic Sci. Int. doi: 10.1016/j.forsciint.2022.111213 – start-page: 69 ident: B35 article-title: A modified particle swarm optimizer – ident: B30 article-title: Development of finite element model for child pedestrian protection – volume-title: Global status report on road safety 2018: Summary year: 2018 ident: B31 – start-page: 18 year: 2000 ident: B15 article-title: Mathematical human body models representing a mid size male and a small female for frontal, lateral and rearward impact loading – volume: 6 start-page: 1 year: 2021 ident: B2 article-title: Current state and progress of research on forensic biomechanics in China publication-title: Forensic Sci. Res. doi: 10.1080/20961790.2021.1879365 – volume: 292 start-page: 176 year: 2018 ident: B18 article-title: A virtual reality method for digitally reconstructing traffic accidents from videos or still images publication-title: Forensic Sci. Int. doi: 10.1016/j.forsciint.2018.09.019 – ident: B27 article-title: Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO) doi: 10.1109/SIS.2003.1202243 – volume-title: Human Body Models Manual Release year: 2013 ident: B22 – volume: 31 start-page: 241 year: 2018 ident: B10 article-title: Reconstruction of vehicle Movement in video sequences based on one-dimensional Direct linear Transformation publication-title: China J. Highw. Transp. – volume: 51 start-page: 2946 year: 2020 ident: B1 article-title: Severe traffic injuries in the Helsinki Trauma Registry between 2009-2018 publication-title: Injury doi: 10.1016/j.injury.2020.09.025 – volume: 33 start-page: 575 year: 2017 ident: B37 article-title: Reconstruction of vehicle-human crash accident and injury analysis based on 3D laser scanning, multi-rigid-body reconstruction and optimized genetic algorithm publication-title: Fa Yi Xue Za Zhi doi: 10.3969/j.issn.1004-5619.2017.06.001 – volume: 35 start-page: 404 year: 2011 ident: B17 article-title: Use of a genetic algorithm for multiobjective design optimization of the femoral stem of a cemented total hip arthroplasty publication-title: Artif. Organs doi: 10.1111/j.1525-1594.2010.01117.x – volume: 61 start-page: 112 year: 2021 ident: B29 article-title: The forensic investigation of vehicle-pedestrian collisions: A review publication-title: Sci. Justice doi: 10.1016/j.scijus.2020.10.006 – volume: 7 start-page: 429 year: 2019 ident: B8 article-title: Tools and biomechanical modeling use in legal disputes: Some case studies publication-title: Front. Bioeng. Biotechnol. doi: 10.3389/fbioe.2019.00429 – volume: 26 start-page: 5083 year: 2019 ident: B5 article-title: Modeling and performance improvement of an anaerobic-anoxic/nitrifying-induced crystallization process via the multi-objective optimization method publication-title: Environ. Sci. Pollut. Res. doi: 10.1007/s11356-018-3971-1 – volume: 27 start-page: 107 year: 2020 ident: B42 article-title: Reverse reconstruction of motorcycle-car accident based on response surface model and NSGA-II algorithm publication-title: Int. J. Crashworthiness doi: 10.1080/13588265.2020.1774482 – volume: 6 start-page: 182 year: 2002 ident: B6 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.996017 – start-page: 14p year: 2001 ident: B4 article-title: Pedestrian human body validation using detailed real-world accidents – volume: 270 start-page: 200 year: 2017 ident: B49 article-title: Methods for analyzing the uncertainty of a reconstructed result in a traffic accident with interval and probabilistic traces publication-title: Forensic Sci. Int. doi: 10.1016/j.forsciint.2016.10.007 – volume: 163 start-page: 114863 year: 2019 ident: B13 article-title: Multi-objective optimisation of species distribution models for river management publication-title: Water Res. doi: 10.1016/j.watres.2019.114863 – volume: 71 start-page: 50 year: 2014 ident: B28 article-title: A study of bicyclist kinematics and injuries based on reconstruction of passenger car-bicycle accident in China publication-title: Accid. Analysis Prev. doi: 10.1016/j.aap.2014.04.021 – volume: 24 start-page: 1841 year: 2013 ident: B11 article-title: Optimization for multi-link Suspension Hard-points based on PDJI-MOPSO algorithm publication-title: Zhongguo Jixie Gongcheng/China Mech. Eng. – start-page: 983150 year: 1998 ident: B14 article-title: A mathematical human body model for frontal and rearward seated automotive impact loading publication-title: STAPP Car Crash Conf doi: 10.4271/983150 – volume: 257 start-page: 229 year: 2015 ident: B47 article-title: A simple algorithm for analyzing uncertainty of accident reconstruction results publication-title: Forensic Sci. Int. doi: 10.1016/j.forsciint.2015.08.025 – ident: B33 article-title: A study of airbag design and optimization methodology – start-page: 2833 year: 2011 ident: B45 article-title: Contact simulation of CFRD based on nonlinear contact friction coefficient publication-title: Adv. Mat. Res. doi: 10.4028/www.scientific.net/amr.250-253.2833 – volume: 43 start-page: 198 year: 2002 ident: B44 article-title: Ncga: Neighborhood cultivation genetic algorithm for multi-objective optimization problems publication-title: GECCO late Break. Pap. – volume: 233 start-page: 836 year: 2018 ident: B48 article-title: Design of experiment in analyzing uncertainty of simulation results in accident reconstruction publication-title: Proc. Institution Mech. Eng. Part D J. Automob. Eng. doi: 10.1177/0954407018754663 – volume: 112 start-page: 107725 year: 2021 ident: B36 article-title: A stochastic bi-objective simulation-optimization model for plasma supply chain in case of COVID-19 outbreak publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2021.107725 – volume: 9 start-page: 677982 year: 2021 ident: B40 article-title: Evaluation of head injury criteria for injury prediction Effectiveness: Computational reconstruction of real-world vulnerable road user impact accidents publication-title: Front. Bioeng. Biotechnol. doi: 10.3389/fbioe.2021.677982 – volume: 173 start-page: 106718 year: 2022 ident: B41 article-title: Should anthropometric differences between the commonly used pedestrian computational biomechanics models and Chinese population be taken into account when predicting pedestrian head kinematics and injury in vehicle collisions in China? publication-title: Accid. Analysis Prev. doi: 10.1016/j.aap.2022.106718 – volume: 48 start-page: 241 year: 2014 ident: B24 article-title: Evaluation of simulation uncertainty in accident reconstruction via combining response surface methodology and Monte Carlo method publication-title: Transp. Res. Part C Emerg. Technol. doi: 10.1016/j.trc.2014.09.004 – volume: 43 start-page: 1787 year: 2021 ident: B39 article-title: High-accuracy accident reconstruction and injury AnalysisBased on genetic algorithm publication-title: Automot. Eng. – volume: 97 start-page: 38 year: 2016 ident: B25 article-title: Effect of surface modification on frictional properties of polyester fabric publication-title: Tribol. Int. doi: 10.1016/j.triboint.2015.12.051 – volume: 14 start-page: 639 year: 2013 ident: B34 article-title: A study of adult pedestrian head impact conditions and injury risks in passenger car collisions based on real-world accident data publication-title: Traffic Inj. Prev. doi: 10.1080/15389588.2012.733841 – volume: 45 start-page: 342 year: 2012 ident: B9 article-title: Pedestrian head translation, rotation and impact velocity: The influence of vehicle speed, pedestrian speed and pedestrian gait publication-title: Accid. Analysis Prev. doi: 10.1016/j.aap.2011.07.022 – volume: 17 start-page: 75 year: 2009 ident: B19 article-title: Research and comparison on pedestrian head protection test regulations publication-title: Traffic And Saf.
SSID	ssj0001257582
Score	2.2361736
Snippet	In vehicle–pedestrian accidents, the preimpact conditions of pedestrians and vehicles are frequently uncertain. The incident data for a crash, such as vehicle... In vehicle-pedestrian accidents, the preimpact conditions of pedestrians and vehicles are frequently uncertain. The incident data for a crash, such as vehicle...
SourceID	doaj pubmedcentral proquest pubmed crossref
SourceType	Open Website Open Access Repository Aggregation Database Index Database Enrichment Source
StartPage	1032621
SubjectTerms	accident reconstruction Accidents Aerial photography Algorithms Bioengineering and Biotechnology Forensic sciences Genetic algorithms Injuries Investigations Kinematics Mathematical models Methods multibody simulation multiobjective optimization algorithm Optimization pedestrian injury Simulation Software traffic accident Traffic accidents & safety Unmanned aerial vehicles
SummonAdditionalLinks	– databaseName: Health & Medical Collection dbid: 7X7 link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELagcIAD75aFgozEDUWN7cSOT6i0VBxo4QBoOVmOY3e3apOl2fb3M-N4wy5CvXBMnMfIMx5_Y3u-IeRtmQclnbKZUw63GZnNMP8z01aIRtWqKCMD34_P6uSkmk7117Tg1qdjlSufGB110zlcI98TMM-itTH9fvErw6pRuLuaSmjcJnewbDbauZqqtTUWACMVH3JlIBbTe6Ged0iOyTlmm3PJ2cZ8FGn7_4U1_z4yuTYHHT38X-kfkQcJfdL9wVwek1u-fULur3ESPiWzmJLb1WeDJ6Qd-JSLlKxJ7fkpfHU5u6CAdal17gqZJujx_uHP4y80BtcjIS3tAr32M_xRtvCNjwVCWnwJ65gu-2fk-9HHbwefslSOIXOFlsusYYV1MjRMe6UgSsl9pWtfaiSpl5r74CHaVLrJcxukq2rmhGJB1DW3Di682CZbbdf654RK8BqAg6QOgD55yLXlDHc4awAgoWB2QthKKcYlrnIsmXFuIGZBRZqoSIOKNEmRE_JufGcxMHXc-PQH1PX4JLJsxxvd5alJg9YUIqjg8iBkgEASsFzFbJWHxgZA0bUGMXdX2jZp6Pfmj6on5M3YDIMWd2Js67ur3nBVInNXXvIJ2RkMa5RESAS1FbSoDZPbEHWzpZ3PIjE4dCkgwuLFzWK9JPewJ-KZnHKXbIFZ-FfkrrtezvvL13EE_QaHRSau priority: 102 providerName: ProQuest
Title	Multiobjective optimization algorithm for accurate MADYMO reconstruction of vehicle-pedestrian accidents
URI	https://www.ncbi.nlm.nih.gov/pubmed/36545682 https://www.proquest.com/docview/3273048819 https://www.proquest.com/docview/2757162052 https://pubmed.ncbi.nlm.nih.gov/PMC9760744 https://doaj.org/article/43f7fc0f36f14963981a80fdaf507b9a
Volume	10
WOSCitedRecordID	wos000900212800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2296-4185 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001257582 issn: 2296-4185 databaseCode: DOA dateStart: 20130101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2296-4185 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001257582 issn: 2296-4185 databaseCode: M~E dateStart: 20130101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 2296-4185 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001257582 issn: 2296-4185 databaseCode: M7P dateStart: 20220101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 2296-4185 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001257582 issn: 2296-4185 databaseCode: 7X7 dateStart: 20220101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2296-4185 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001257582 issn: 2296-4185 databaseCode: BENPR dateStart: 20220101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2296-4185 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001257582 issn: 2296-4185 databaseCode: PIMPY dateStart: 20220101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB5B4QAHxJtAWRmJG4oaOw_Hxxa2AoldIgRoe7Icx2YXtUnV3fbIb2fGSaNdhODCJVJiW3FmxvY3secbgNd54mVhpYmttLTNyE1M8Z-xMmnayFpmeWDg-_ZRzuflYqGqrVRfdCaspwfuBXeQpV56m_i08AjmcT0tuSkT3xiPSKZWARolUm05U_3fFYQhpeijZNALUwe-XnVEiykExZmLQvCdlSgQ9v8JZf5-WHJr9Tm-D_cG2MgO--4-gBuufQh3t8gEH8EyxNJ29Y9-CmMdTgZnQ5QlM6ffu4vVZnnGEKQyY-0lUUSw2eG7k9knFrzikUmWdZ5duSW9KD53jQuZPVpqRAlIN-vH8PV4-uXt-3jIoxBblNgmbnhmbOEbrpyU6F4krlS1yxWxyxdKOO_QTZSqSRLjC1vW3KaS-7SuhbF449InsNd2rXsGrMDhjgCmUB5ho_CJMoLT1mSNyMFn3ETAr2Wq7UAyTrkuTjU6G6QHHfSgSQ960EMEb8Y25z3Fxl9rH5GqxppEjx0eoNHowWj0v4wmgv1rRethzK51ikiO5jOuIng1FuNooy0U07rucq2FzIlyK8lFBE97uxh7khaERksskTsWs9PV3ZJ2tQyM3ihShHLZ8__xbS_gDskrHLnJ92EPjce9hNv2arNaX0zgplzIcC0ncOtoOq8-T8LQmdCp14quP6dYUn2YVSe_ABAyIBc
linkProvider	Directory of Open Access Journals
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwELbKFgk48H4sFDASnFDU2Hk4PiBUKFVX3V32UFB7ch3H7i5qk6XZFvGn-I3M5MUuQr31wDFxHo7zefyN7fmGkNeR70RshPaMMLjMyLSH8Z-e1EGQiVSEUaXA93UoxuPk4EBO1sivNhYGt1W2NrEy1FlhcI58M4BxFtHG5Pv5dw-zRuHqaptCo4bFnv35A1y28t1gG_7vG853Pu1_3PWarAKeCWW88DIWahO7jEkrBJBt3yYytZFErfVYcussOE1CZr6vXWySlJlAMBekKdcGDmwAz71G1kMAu98j65PBaHK4NKsD9CfhdXQOeH9y06WzAuU4Ocf4dh5ztjICVokC_sVu_96kuTTq7dz539rrLrnd8Gu6VXeIe2TN5vfJrSXVxQdkWgUdF-m32tbTAqzmaROOSvXJMXzFYnpKgc1Tbcw5amnQ0db24egzraYPOsldWjh6Yaf4Im9uM1ulQMnxJszUuigfki9X8qmPSC8vcvuE0BjsIjC9WDrg19z5UnOGa7gpUCwXMt0nrAWBMo0aOyYFOVHglSFwVAUchcBRDXD65G13z7zWIrn06g-Ire5K1BGvThRnx6oxSyoMnHDGd0HswFUGtpownfgu0w78hFRCNTdadKnGuJXqD7T65FVXDGYJ15p0bovzUnERoTaZH_E-eVwDuatJECNtT6BErEB8paqrJflsWkmfQ5MC5w2fXl6tl-TG7v5oqIaD8d4zchNbpdqBFG2QHkDEPifXzcViVp69aPovJUdX3QV-A3Ckhkk
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Multiobjective+optimization+algorithm+for+accurate+MADYMO+reconstruction+of+vehicle-pedestrian+accidents&rft.jtitle=Frontiers+in+bioengineering+and+biotechnology&rft.au=Zou%2C+Donghua&rft.au=Fan%2C+Ying&rft.au=Liu%2C+Ningguo&rft.au=Zhang%2C+Jianhua&rft.date=2022-12-05&rft.issn=2296-4185&rft.eissn=2296-4185&rft.volume=10&rft_id=info:doi/10.3389%2Ffbioe.2022.1032621&rft.externalDBID=n%2Fa&rft.externalDocID=10_3389_fbioe_2022_1032621
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2296-4185&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2296-4185&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2296-4185&client=summon