Optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection

This study proposes a method of achieving an optimised vehicle front-end profile for improved protection for both adult and child pedestrian groups, which at the same time is able to avoid designs that may cause Run-over scenarios. A hybrid model of a seven-parameter vehicle front-end geometry and...

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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
Published: Taylor & Francis 2014
Subjects:
Online Access:http://irep.iium.edu.my/39144/
http://irep.iium.edu.my/39144/
http://irep.iium.edu.my/39144/
http://irep.iium.edu.my/39144/1/Optimisation_of_vehicle_front-end_geometry_for_adult_and_pediatric_pedestrian_protection.pdf
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recordtype eprints
spelling iium-391442015-10-16T00:40:07Z http://irep.iium.edu.my/39144/ Optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection Venkatason, kausalyah shasthri, Sevaguru Abdullah, Kassim Abdulrahman Idres, Moumen Shah, Qasim Hussain Wong, Sha Voon TL1 Motor vehicles This study proposes a method of achieving an optimised vehicle front-end profile for improved protection for both adult and child pedestrian groups, which at the same time is able to avoid designs that may cause Run-over scenarios. A hybrid model of a seven-parameter vehicle front-end geometry and a pedestrian dummy is used. Latin Hypercube sampling is utilised to generate a Plan of Experiments for the adult and child pedestrian cases. Head injury criteria results from the simulations that are tabulated as the response functions. The radial basis function method is used to obtain mathematical models for the response functions. Optimised front-end geometries are obtained using the Genetic Algorithm method. The optimised vehicle front-end profile for the adult pedestrian is shown to be different from that of the optimised profile for the child pedestrian, and optimised profiles are shown to be not mutually applicable for safety. Furthermore, Run-over scenario is observed in child pedestrian optimised profiles, where its occurrence invalidates the optimisation. A simple weighting method is used to optimise the geometry for both adult and child pedestrian groups. The Run-over occurrences are mapped using Logistic Regression and is subsequently used as a constraint for optimisation. The final optimised model is shown to achieve a safe vehicle front-end profile which equally caters for both adult and child pedestrians while simultaneously avoiding Run-over scenarios. Taylor & Francis 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/39144/1/Optimisation_of_vehicle_front-end_geometry_for_adult_and_pediatric_pedestrian_protection.pdf Venkatason, kausalyah and shasthri, Sevaguru and Abdullah, Kassim Abdulrahman and Idres, Moumen and Shah, Qasim Hussain and Wong, Sha Voon (2014) Optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection. International Journal of Crashworthiness. pp. 1-9. ISSN 1358-8265 (Print), 1754-2111 (Online) http://www.tandfonline.com/doi/abs/10.1080/13588265.2013.879506#.VGGb0cmleSk http://dx.doi.org/10.1080/13588265.2013.879506
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TL1 Motor vehicles
spellingShingle TL1 Motor vehicles
Venkatason, kausalyah
shasthri, Sevaguru
Abdullah, Kassim Abdulrahman
Idres, Moumen
Shah, Qasim Hussain
Wong, Sha Voon
Optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection
description This study proposes a method of achieving an optimised vehicle front-end profile for improved protection for both adult and child pedestrian groups, which at the same time is able to avoid designs that may cause Run-over scenarios. A hybrid model of a seven-parameter vehicle front-end geometry and a pedestrian dummy is used. Latin Hypercube sampling is utilised to generate a Plan of Experiments for the adult and child pedestrian cases. Head injury criteria results from the simulations that are tabulated as the response functions. The radial basis function method is used to obtain mathematical models for the response functions. Optimised front-end geometries are obtained using the Genetic Algorithm method. The optimised vehicle front-end profile for the adult pedestrian is shown to be different from that of the optimised profile for the child pedestrian, and optimised profiles are shown to be not mutually applicable for safety. Furthermore, Run-over scenario is observed in child pedestrian optimised profiles, where its occurrence invalidates the optimisation. A simple weighting method is used to optimise the geometry for both adult and child pedestrian groups. The Run-over occurrences are mapped using Logistic Regression and is subsequently used as a constraint for optimisation. The final optimised model is shown to achieve a safe vehicle front-end profile which equally caters for both adult and child pedestrians while simultaneously avoiding Run-over scenarios.
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 Optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection
title_short Optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection
title_full Optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection
title_fullStr Optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection
title_full_unstemmed Optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection
title_sort optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection
publisher Taylor & Francis
publishDate 2014
url http://irep.iium.edu.my/39144/
http://irep.iium.edu.my/39144/
http://irep.iium.edu.my/39144/
http://irep.iium.edu.my/39144/1/Optimisation_of_vehicle_front-end_geometry_for_adult_and_pediatric_pedestrian_protection.pdf
first_indexed 2023-09-18T20:56:13Z
last_indexed 2023-09-18T20:56:13Z
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