Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO)

Nurul Afiqah Zainal; Kamil Zakwan Mohd Azmi; Muhammad Aizzat Zakaria; Anwar P. P. Abdul Majeed

doi:10.1007/978-3-030-70917-4_40

Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO)

Nurul Afiqah Zainal
, Kamil Zakwan Mohd Azmi
, Muhammad Aizzat Zakaria
, Anwar P. P. Abdul Majeed^*

^*Corresponding author for this work

Universiti Malaysia Pahang Al-Sultan Abdullah
Innovative Manufacturing
Centre for Software Development & Integrated Computing

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Driving comfort is a non-trivial issue as it could pose adverse health issues particularly to those who travel-long distances. In the present study, we identify the optimum speed during cornering in order to reduce the effect of normal vertical forces towards driving experience of a two-in wheel vehicle. A bio-inspired metaheuristic method, namely Particle Swarm Optimization (PSO) was employed to address the objective of the present investigation on a twelve degrees of freedom human biodynamic model that is fused to a two-in-wheel car model. It was established through the PSO algorithm, that the optimal speed during cornering for the given car configuration is approximately 19 km/h. The findings of the present study are essential in ensuring human comfort is not compromised that in turn minimizes possible untoward risk to the driver.

Original language	English
Title of host publication	Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020
Editors	Jessnor Arif Mat Jizat, Ismail Mohd Khairuddin, Mohd Azraai Mohd Razman, Ahmad Fakhri Ab. Nasir, Mohamad Shaiful Abdul Karim, Abdul Aziz Jaafar, Lim Wei Hong, Anwar P. Abdul Majeed, Pengcheng Liu, Hyun Myung, Han-Lim Choi, Gian-Antonio Susto
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	407-412
Number of pages	6
ISBN (Print)	9783030709167
DOIs	https://doi.org/10.1007/978-3-030-70917-4_40
Publication status	Published - 2021
Externally published	Yes
Event	2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020 - Pekan, Malaysia Duration: 22 Dec 2020 → 22 Dec 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1350 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020
Country/Territory	Malaysia
City	Pekan
Period	22/12/20 → 22/12/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Human comfort
Optimization
PSO
Two-in-wheel vehicle

Access to Document

10.1007/978-3-030-70917-4_40

Cite this

Zainal, N. A., Azmi, K. Z. M., Zakaria, M. A., & P. P. Abdul Majeed, A. (2021). Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO). In J. A. Mat Jizat, I. M. Khairuddin, M. A. Mohd Razman, A. F. Ab. Nasir, M. S. Abdul Karim, A. A. Jaafar, L. W. Hong, A. P. Abdul Majeed, P. Liu, H. Myung, H.-L. Choi, & G.-A. Susto (Eds.), Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020 (pp. 407-412). (Advances in Intelligent Systems and Computing; Vol. 1350 AISC). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-70917-4_40

Zainal, Nurul Afiqah ; Azmi, Kamil Zakwan Mohd ; Zakaria, Muhammad Aizzat et al. / Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO). Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020. editor / Jessnor Arif Mat Jizat ; Ismail Mohd Khairuddin ; Mohd Azraai Mohd Razman ; Ahmad Fakhri Ab. Nasir ; Mohamad Shaiful Abdul Karim ; Abdul Aziz Jaafar ; Lim Wei Hong ; Anwar P. Abdul Majeed ; Pengcheng Liu ; Hyun Myung ; Han-Lim Choi ; Gian-Antonio Susto. Springer Science and Business Media Deutschland GmbH, 2021. pp. 407-412 (Advances in Intelligent Systems and Computing).

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title = "Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO)",

abstract = "Driving comfort is a non-trivial issue as it could pose adverse health issues particularly to those who travel-long distances. In the present study, we identify the optimum speed during cornering in order to reduce the effect of normal vertical forces towards driving experience of a two-in wheel vehicle. A bio-inspired metaheuristic method, namely Particle Swarm Optimization (PSO) was employed to address the objective of the present investigation on a twelve degrees of freedom human biodynamic model that is fused to a two-in-wheel car model. It was established through the PSO algorithm, that the optimal speed during cornering for the given car configuration is approximately 19 km/h. The findings of the present study are essential in ensuring human comfort is not compromised that in turn minimizes possible untoward risk to the driver.",

keywords = "Human comfort, Optimization, PSO, Two-in-wheel vehicle",

author = "Zainal, \{Nurul Afiqah\} and Azmi, \{Kamil Zakwan Mohd\} and Zakaria, \{Muhammad Aizzat\} and \{P. P. Abdul Majeed\}, Anwar",

note = "Funding Information: Acknowledgement. The authors would like to thank Universiti Malaysia Pahang for funding this study via RDU190328. Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020 ; Conference date: 22-12-2020 Through 22-12-2020",

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booktitle = "Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020",

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Zainal, NA, Azmi, KZM, Zakaria, MA & P. P. Abdul Majeed, A 2021, Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO). in JA Mat Jizat, IM Khairuddin, MA Mohd Razman, AF Ab. Nasir, MS Abdul Karim, AA Jaafar, LW Hong, AP Abdul Majeed, P Liu, H Myung, H-L Choi & G-A Susto (eds), Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020. Advances in Intelligent Systems and Computing, vol. 1350 AISC, Springer Science and Business Media Deutschland GmbH, pp. 407-412, 2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020, Pekan, Malaysia, 22/12/20. https://doi.org/10.1007/978-3-030-70917-4_40

Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO). / Zainal, Nurul Afiqah; Azmi, Kamil Zakwan Mohd; Zakaria, Muhammad Aizzat et al.
Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020. ed. / Jessnor Arif Mat Jizat; Ismail Mohd Khairuddin; Mohd Azraai Mohd Razman; Ahmad Fakhri Ab. Nasir; Mohamad Shaiful Abdul Karim; Abdul Aziz Jaafar; Lim Wei Hong; Anwar P. Abdul Majeed; Pengcheng Liu; Hyun Myung; Han-Lim Choi; Gian-Antonio Susto. Springer Science and Business Media Deutschland GmbH, 2021. p. 407-412 (Advances in Intelligent Systems and Computing; Vol. 1350 AISC).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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T1 - Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO)

AU - Zainal, Nurul Afiqah

AU - Azmi, Kamil Zakwan Mohd

AU - Zakaria, Muhammad Aizzat

AU - P. P. Abdul Majeed, Anwar

N1 - Funding Information: Acknowledgement. The authors would like to thank Universiti Malaysia Pahang for funding this study via RDU190328. Publisher Copyright: © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2021

Y1 - 2021

N2 - Driving comfort is a non-trivial issue as it could pose adverse health issues particularly to those who travel-long distances. In the present study, we identify the optimum speed during cornering in order to reduce the effect of normal vertical forces towards driving experience of a two-in wheel vehicle. A bio-inspired metaheuristic method, namely Particle Swarm Optimization (PSO) was employed to address the objective of the present investigation on a twelve degrees of freedom human biodynamic model that is fused to a two-in-wheel car model. It was established through the PSO algorithm, that the optimal speed during cornering for the given car configuration is approximately 19 km/h. The findings of the present study are essential in ensuring human comfort is not compromised that in turn minimizes possible untoward risk to the driver.

AB - Driving comfort is a non-trivial issue as it could pose adverse health issues particularly to those who travel-long distances. In the present study, we identify the optimum speed during cornering in order to reduce the effect of normal vertical forces towards driving experience of a two-in wheel vehicle. A bio-inspired metaheuristic method, namely Particle Swarm Optimization (PSO) was employed to address the objective of the present investigation on a twelve degrees of freedom human biodynamic model that is fused to a two-in-wheel car model. It was established through the PSO algorithm, that the optimal speed during cornering for the given car configuration is approximately 19 km/h. The findings of the present study are essential in ensuring human comfort is not compromised that in turn minimizes possible untoward risk to the driver.

KW - Human comfort

KW - Optimization

KW - PSO

KW - Two-in-wheel vehicle

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U2 - 10.1007/978-3-030-70917-4_40

DO - 10.1007/978-3-030-70917-4_40

M3 - Conference Proceeding

AN - SCOPUS:85104409346

SN - 9783030709167

T3 - Advances in Intelligent Systems and Computing

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BT - Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020

A2 - Mat Jizat, Jessnor Arif

A2 - Khairuddin, Ismail Mohd

A2 - Mohd Razman, Mohd Azraai

A2 - Ab. Nasir, Ahmad Fakhri

A2 - Abdul Karim, Mohamad Shaiful

A2 - Jaafar, Abdul Aziz

A2 - Hong, Lim Wei

A2 - Abdul Majeed, Anwar P.

A2 - Liu, Pengcheng

A2 - Myung, Hyun

A2 - Choi, Han-Lim

A2 - Susto, Gian-Antonio

PB - Springer Science and Business Media Deutschland GmbH

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ER -

Zainal NA, Azmi KZM, Zakaria MA, P. P. Abdul Majeed A. Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO). In Mat Jizat JA, Khairuddin IM, Mohd Razman MA, Ab. Nasir AF, Abdul Karim MS, Jaafar AA, Hong LW, Abdul Majeed AP, Liu P, Myung H, Choi HL, Susto GA, editors, Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 407-412. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-70917-4_40

Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO)

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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