Vehicle profile optimization using central composite design for pedestrian injury mitigation

Pedestrian injury poses a significant problem throughout the world. Pedestrians contribute to the second largest category of motor vehicle deaths accounting for about 13% of fatalities, after occupant injuries. Therefore is vital to design pedestrian friendly vehicles to mitigate injuries and fata...

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Main Authors:	Venkatason, Kausalyah, Shasthri, Sevaguru, Abdullah, Kassim Abdulrahman, Idres, Moumen, Shah, Qasim Hussain, Wong, Sha Voon
Format:	Article
Language:	English English
Published:	Natural Publishing 2015
Subjects:	TL1 Motor vehicles
Online Access:	http://irep.iium.edu.my/40912/ http://irep.iium.edu.my/40912/ http://irep.iium.edu.my/40912/ http://irep.iium.edu.my/40912/1/K_AMIS.pdf http://irep.iium.edu.my/40912/4/40912_Vehicle%20profile%20optimization%20using%20central%20composite_Scopus.pdf

id	iium-40912
recordtype	eprints
spelling	iium-409122017-09-26T10:55:15Z http://irep.iium.edu.my/40912/ Vehicle profile optimization using central composite design for pedestrian injury mitigation Venkatason, Kausalyah Shasthri, Sevaguru Abdullah, Kassim Abdulrahman Idres, Moumen Shah, Qasim Hussain Wong, Sha Voon TL1 Motor vehicles Pedestrian injury poses a significant problem throughout the world. Pedestrians contribute to the second largest category of motor vehicle deaths accounting for about 13% of fatalities, after occupant injuries. Therefore is vital to design pedestrian friendly vehicles to mitigate injuries and fatalities. A statistical methodology employing the Design of Experiments (DoE) is adopted in this work to obtain the optimum design parameters for the vehicle front end geometry. The work studies the feasibility of the use of Central Composite Designs (CCD) between a Circumscribed design (CCC) and a Faced design (CCF). A total of 100 simulation runs are performed and the response is tabulated. Multi linear regression analysis is performed following which, quadratic programming is used to carry out the optimization task using the Response Surface models obtained. It is concluded that the CCC offers a better prediction for the optimum values in comparison to the CCF design. The SSR value for the CCC design offers a better fit for the model yielding the value of 2.68 which is lesser than CCF’s value of 2.87. In addition, the practical error margin between the predicted CCC designs and observed experimental values are 43.68 for CCC and 187.66 for CCF respectively, thus affirming the conclusion made. Natural Publishing 2015-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/40912/1/K_AMIS.pdf application/pdf en http://irep.iium.edu.my/40912/4/40912_Vehicle%20profile%20optimization%20using%20central%20composite_Scopus.pdf Venkatason, Kausalyah and Shasthri, Sevaguru and Abdullah, Kassim Abdulrahman and Idres, Moumen and Shah, Qasim Hussain and Wong, Sha Voon (2015) Vehicle profile optimization using central composite design for pedestrian injury mitigation. Applied Mathematics & Information Sciences, 9 (1). pp. 197-204. ISSN 1935-0090 http://www.naturalspublishing.com/ContIss.asp?IssID=249 doi:10.12785/amis/090125
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TL1 Motor vehicles
spellingShingle	TL1 Motor vehicles Venkatason, Kausalyah Shasthri, Sevaguru Abdullah, Kassim Abdulrahman Idres, Moumen Shah, Qasim Hussain Wong, Sha Voon Vehicle profile optimization using central composite design for pedestrian injury mitigation
description	Pedestrian injury poses a significant problem throughout the world. Pedestrians contribute to the second largest category of motor vehicle deaths accounting for about 13% of fatalities, after occupant injuries. Therefore is vital to design pedestrian friendly vehicles to mitigate injuries and fatalities. A statistical methodology employing the Design of Experiments (DoE) is adopted in this work to obtain the optimum design parameters for the vehicle front end geometry. The work studies the feasibility of the use of Central Composite Designs (CCD) between a Circumscribed design (CCC) and a Faced design (CCF). A total of 100 simulation runs are performed and the response is tabulated. Multi linear regression analysis is performed following which, quadratic programming is used to carry out the optimization task using the Response Surface models obtained. It is concluded that the CCC offers a better prediction for the optimum values in comparison to the CCF design. The SSR value for the CCC design offers a better fit for the model yielding the value of 2.68 which is lesser than CCF’s value of 2.87. In addition, the practical error margin between the predicted CCC designs and observed experimental values are 43.68 for CCC and 187.66 for CCF respectively, thus affirming the conclusion made.
format	Article
author	Venkatason, Kausalyah Shasthri, Sevaguru Abdullah, Kassim Abdulrahman Idres, Moumen Shah, Qasim Hussain Wong, Sha Voon
author_facet	Venkatason, Kausalyah Shasthri, Sevaguru Abdullah, Kassim Abdulrahman Idres, Moumen Shah, Qasim Hussain Wong, Sha Voon
author_sort	Venkatason, Kausalyah
title	Vehicle profile optimization using central composite design for pedestrian injury mitigation
title_short	Vehicle profile optimization using central composite design for pedestrian injury mitigation
title_full	Vehicle profile optimization using central composite design for pedestrian injury mitigation
title_fullStr	Vehicle profile optimization using central composite design for pedestrian injury mitigation
title_full_unstemmed	Vehicle profile optimization using central composite design for pedestrian injury mitigation
title_sort	vehicle profile optimization using central composite design for pedestrian injury mitigation
publisher	Natural Publishing
publishDate	2015
url	http://irep.iium.edu.my/40912/ http://irep.iium.edu.my/40912/ http://irep.iium.edu.my/40912/ http://irep.iium.edu.my/40912/1/K_AMIS.pdf http://irep.iium.edu.my/40912/4/40912_Vehicle%20profile%20optimization%20using%20central%20composite_Scopus.pdf
first_indexed	2023-09-18T20:58:38Z
last_indexed	2023-09-18T20:58:38Z
_version_	1777410473299279872

Vehicle profile optimization using central composite design for pedestrian injury mitigation

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