the correlation model of head roll and lateral acceleration during curve driving via hammerstein-wiener
Generally, passengers are more prone to Motion Sickness (MS) than the drivers. The difference of their severity level of MS is due to their different head movement towards the direction of the lateral acceleration. During cornering, the passengers tend to tilt their heads according to the direction,...
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Blue Eyes Intelligence Engineering and Sciences Publication
2019
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Online Access: | http://eprints.utm.my/id/eprint/89397/1/SarahAtifahSaruchi2019_TheCorrelationModelofHeadRoll.pdf http://eprints.utm.my/id/eprint/89397/ http://www.dx.doi.org/10.35940/ijitee.i8580.078919 |
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my.utm.893972021-02-09T04:27:06Z http://eprints.utm.my/id/eprint/89397/ the correlation model of head roll and lateral acceleration during curve driving via hammerstein-wiener Atifahsaruchi, S. Ariff, M. H. M. Zamzuri, H. Hassan, N. Wahid, N. Zakaria, N. J. T Technology (General) Generally, passengers are more prone to Motion Sickness (MS) than the drivers. The difference of their severity level of MS is due to their different head movement towards the direction of the lateral acceleration. During cornering, the passengers tend to tilt their heads according to the direction, while the drivers tends to tilt their head opposite to the direction. Based on this fact, the passengers are able to reduce their MS level if they can imitate the driver’s head movement or lessen their head tilt angle towards the direction of the lateral acceleration. However, it is easier to design MS mitigation method based on the head tilt movement strategy if the mathematical expression of their head behaviour is known beforehand. On way to derive the mathematical expression is by modelling the relationship between the occupant’s head tilt movements and the vehicle’s lateral acceleration during curve driving. Therefore, this study proposed the usage of Hammerstein-Wiener (H-W) method for the modelling purpose. Experiment is set up to obtain the naturalistic data for the modelling process. The modelling process is carried out by varying the input output nonlinearities estimators. The results show that the estimated output responses from the H-W models are similar with the real responses taken from the experiment.The derived models for both passenger and driver have 68.88% and 66.32% of Best Fit (BF) percentages. With further study, the passenger’s and driver’s models which are developed by the proposed H-W modelling strategy are expected to contribute in MS minimisation studies. Blue Eyes Intelligence Engineering and Sciences Publication 2019-07 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/89397/1/SarahAtifahSaruchi2019_TheCorrelationModelofHeadRoll.pdf Atifahsaruchi, S. and Ariff, M. H. M. and Zamzuri, H. and Hassan, N. and Wahid, N. and Zakaria, N. J. (2019) the correlation model of head roll and lateral acceleration during curve driving via hammerstein-wiener. International Journal of Innovative Technology and Exploring Engineering, 8 (9). pp. 2586-2590. ISSN 2278-3075 http://www.dx.doi.org/10.35940/ijitee.i8580.078919 DOI: 10.35940/ijitee.i8580.078919 |
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T Technology (General) Atifahsaruchi, S. Ariff, M. H. M. Zamzuri, H. Hassan, N. Wahid, N. Zakaria, N. J. the correlation model of head roll and lateral acceleration during curve driving via hammerstein-wiener |
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Generally, passengers are more prone to Motion Sickness (MS) than the drivers. The difference of their severity level of MS is due to their different head movement towards the direction of the lateral acceleration. During cornering, the passengers tend to tilt their heads according to the direction, while the drivers tends to tilt their head opposite to the direction. Based on this fact, the passengers are able to reduce their MS level if they can imitate the driver’s head movement or lessen their head tilt angle towards the direction of the lateral acceleration. However, it is easier to design MS mitigation method based on the head tilt movement strategy if the mathematical expression of their head behaviour is known beforehand. On way to derive the mathematical expression is by modelling the relationship between the occupant’s head tilt movements and the vehicle’s lateral acceleration during curve driving. Therefore, this study proposed the usage of Hammerstein-Wiener (H-W) method for the modelling purpose. Experiment is set up to obtain the naturalistic data for the modelling process. The modelling process is carried out by varying the input output nonlinearities estimators. The results show that the estimated output responses from the H-W models are similar with the real responses taken from the experiment.The derived models for both passenger and driver have 68.88% and 66.32% of Best Fit (BF) percentages. With further study, the passenger’s and driver’s models which are developed by the proposed H-W modelling strategy are expected to contribute in MS minimisation studies. |
format |
Article |
author |
Atifahsaruchi, S. Ariff, M. H. M. Zamzuri, H. Hassan, N. Wahid, N. Zakaria, N. J. |
author_facet |
Atifahsaruchi, S. Ariff, M. H. M. Zamzuri, H. Hassan, N. Wahid, N. Zakaria, N. J. |
author_sort |
Atifahsaruchi, S. |
title |
the correlation model of head roll and lateral acceleration during curve driving via hammerstein-wiener |
title_short |
the correlation model of head roll and lateral acceleration during curve driving via hammerstein-wiener |
title_full |
the correlation model of head roll and lateral acceleration during curve driving via hammerstein-wiener |
title_fullStr |
the correlation model of head roll and lateral acceleration during curve driving via hammerstein-wiener |
title_full_unstemmed |
the correlation model of head roll and lateral acceleration during curve driving via hammerstein-wiener |
title_sort |
correlation model of head roll and lateral acceleration during curve driving via hammerstein-wiener |
publisher |
Blue Eyes Intelligence Engineering and Sciences Publication |
publishDate |
2019 |
url |
http://eprints.utm.my/id/eprint/89397/1/SarahAtifahSaruchi2019_TheCorrelationModelofHeadRoll.pdf http://eprints.utm.my/id/eprint/89397/ http://www.dx.doi.org/10.35940/ijitee.i8580.078919 |
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1691733098969956352 |
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13.211869 |