Vehicle Door Opening Control Model Based on a Fuzzy Inference System to Prevent Motorcycle–Vehicle Door Crashes

The goal of this research is to develop a fuzzy logic-based vehicle door control system to avoid motorcycle–vehicle door crash accidents. Accidents of this nature usually occur when the driver has parked the car, opens the door getting out of the car and collides with a motorcycle approaching from t...

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Autor principal:	Cheng-Yong Huang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	door crash fuzzy logic control central locking injury prevention mandatory Dutch Reach Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/c6282fbfade74568b6355bd24bdd4553
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spelling	oai:doaj.org-article:c6282fbfade74568b6355bd24bdd45532021-11-25T19:02:04ZVehicle Door Opening Control Model Based on a Fuzzy Inference System to Prevent Motorcycle–Vehicle Door Crashes10.3390/su1322125582071-1050https://doaj.org/article/c6282fbfade74568b6355bd24bdd45532021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12558https://doaj.org/toc/2071-1050The goal of this research is to develop a fuzzy logic-based vehicle door control system to avoid motorcycle–vehicle door crash accidents. Accidents of this nature usually occur when the driver has parked the car, opens the door getting out of the car and collides with a motorcycle approaching from the rear, causing injury to the motorcyclist. In order to prevent such accidents, the fuzzy logic control system inputs the speed (MS) and safety distance (SD) of the motorcycle approaching from the rear, and then the fuzzy inference unit (FIU) calculates the clear output (Crisp) defuzzification Vehicle Door Opening Model (VDOM) value for the central locking system of the car, which can be used to trigger three modes, namely Danger Mode, Caution Mode and Warning Mode. In this study, the VDOM system is designed to trigger reasonable, reliable and consistent door control under different speeds of motorcycles coming from the rear and will be effectively applied to the door control of semi-automatic cars in the future.Cheng-Yong HuangMDPI AGarticledoor crashfuzzy logic controlcentral lockinginjury preventionmandatory Dutch ReachEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12558, p 12558 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	door crash fuzzy logic control central locking injury prevention mandatory Dutch Reach Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	door crash fuzzy logic control central locking injury prevention mandatory Dutch Reach Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Cheng-Yong Huang Vehicle Door Opening Control Model Based on a Fuzzy Inference System to Prevent Motorcycle–Vehicle Door Crashes
description	The goal of this research is to develop a fuzzy logic-based vehicle door control system to avoid motorcycle–vehicle door crash accidents. Accidents of this nature usually occur when the driver has parked the car, opens the door getting out of the car and collides with a motorcycle approaching from the rear, causing injury to the motorcyclist. In order to prevent such accidents, the fuzzy logic control system inputs the speed (MS) and safety distance (SD) of the motorcycle approaching from the rear, and then the fuzzy inference unit (FIU) calculates the clear output (Crisp) defuzzification Vehicle Door Opening Model (VDOM) value for the central locking system of the car, which can be used to trigger three modes, namely Danger Mode, Caution Mode and Warning Mode. In this study, the VDOM system is designed to trigger reasonable, reliable and consistent door control under different speeds of motorcycles coming from the rear and will be effectively applied to the door control of semi-automatic cars in the future.
format	article
author	Cheng-Yong Huang
author_facet	Cheng-Yong Huang
author_sort	Cheng-Yong Huang
title	Vehicle Door Opening Control Model Based on a Fuzzy Inference System to Prevent Motorcycle–Vehicle Door Crashes
title_short	Vehicle Door Opening Control Model Based on a Fuzzy Inference System to Prevent Motorcycle–Vehicle Door Crashes
title_full	Vehicle Door Opening Control Model Based on a Fuzzy Inference System to Prevent Motorcycle–Vehicle Door Crashes
title_fullStr	Vehicle Door Opening Control Model Based on a Fuzzy Inference System to Prevent Motorcycle–Vehicle Door Crashes
title_full_unstemmed	Vehicle Door Opening Control Model Based on a Fuzzy Inference System to Prevent Motorcycle–Vehicle Door Crashes
title_sort	vehicle door opening control model based on a fuzzy inference system to prevent motorcycle–vehicle door crashes
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c6282fbfade74568b6355bd24bdd4553
work_keys_str_mv	AT chengyonghuang vehicledooropeningcontrolmodelbasedonafuzzyinferencesystemtopreventmotorcyclevehicledoorcrashes
_version_	1718410430449188864

Vehicle Door Opening Control Model Based on a Fuzzy Inference System to Prevent Motorcycle–Vehicle Door Crashes

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