HCL Control Strategy for an Adaptive Roadway Lighting Distribution

This study aims to develop a human-centric, intelligent lighting control system using adaptive LED lights in roadway lighting, integrated with an imaging luminance meter that uses an IoT sensor driver to detect the brightness of road surfaces. AI image data are collected for luminance and vehicle co...

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Autores principales:	Chun-Hsi Liu, Chun-Yu Hsiao, Jyh-Cherng Gu, Kuan-Yi Liu, Shu-Fen Yan, Chien Hua Chiu, Min Che Ho
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	human-centric lighting (HCL) adaptive light distribution intelligent roadway lighting imaging luminance meter zonal flux freeform surface Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/d60a58b69ff44dcb9e8d0ec72ab13cd0
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id	oai:doaj.org-article:d60a58b69ff44dcb9e8d0ec72ab13cd0
record_format	dspace
spelling	oai:doaj.org-article:d60a58b69ff44dcb9e8d0ec72ab13cd02021-11-11T15:02:51ZHCL Control Strategy for an Adaptive Roadway Lighting Distribution10.3390/app112199602076-3417https://doaj.org/article/d60a58b69ff44dcb9e8d0ec72ab13cd02021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9960https://doaj.org/toc/2076-3417This study aims to develop a human-centric, intelligent lighting control system using adaptive LED lights in roadway lighting, integrated with an imaging luminance meter that uses an IoT sensor driver to detect the brightness of road surfaces. AI image data are collected for luminance and vehicle conditions analyses to adjust the output of the photometric curve. Type-A lenses are designed for R3 dry roads, while Type-B lenses are designed for W1 wet roads, to solve hazards caused by slippery roads, for optimizing safety and for visual clarity for road users. Data are collected for establishing formulae to optimize road lighting. First, the research uses zonal flux analysis to design secondary optical components of LED roadway lighting. Based on the distribution of LED lights and the target photometric curve, the freeform surface calculation model and formula are established, and control points of each curved surface are calculated using an iterative method. The reflection coefficient of a roadway is used to design optical lenses that take into account the illuminance and luminance uniformity to produce photometric curves accordingly. This system monitors roadway luminance in real time, which simulates drivers’ visual experiences and uses the ZigBee protocol to transmit control commands. This optimizes the output of light according to weather and produces quality roadway lighting, providing a safer driving environment.Chun-Hsi LiuChun-Yu HsiaoJyh-Cherng GuKuan-Yi LiuShu-Fen YanChien Hua ChiuMin Che HoMDPI AGarticlehuman-centric lighting (HCL)adaptive light distributionintelligent roadway lightingimaging luminance meterzonal fluxfreeform surfaceTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9960, p 9960 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	human-centric lighting (HCL) adaptive light distribution intelligent roadway lighting imaging luminance meter zonal flux freeform surface Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	human-centric lighting (HCL) adaptive light distribution intelligent roadway lighting imaging luminance meter zonal flux freeform surface Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Chun-Hsi Liu Chun-Yu Hsiao Jyh-Cherng Gu Kuan-Yi Liu Shu-Fen Yan Chien Hua Chiu Min Che Ho HCL Control Strategy for an Adaptive Roadway Lighting Distribution
description	This study aims to develop a human-centric, intelligent lighting control system using adaptive LED lights in roadway lighting, integrated with an imaging luminance meter that uses an IoT sensor driver to detect the brightness of road surfaces. AI image data are collected for luminance and vehicle conditions analyses to adjust the output of the photometric curve. Type-A lenses are designed for R3 dry roads, while Type-B lenses are designed for W1 wet roads, to solve hazards caused by slippery roads, for optimizing safety and for visual clarity for road users. Data are collected for establishing formulae to optimize road lighting. First, the research uses zonal flux analysis to design secondary optical components of LED roadway lighting. Based on the distribution of LED lights and the target photometric curve, the freeform surface calculation model and formula are established, and control points of each curved surface are calculated using an iterative method. The reflection coefficient of a roadway is used to design optical lenses that take into account the illuminance and luminance uniformity to produce photometric curves accordingly. This system monitors roadway luminance in real time, which simulates drivers’ visual experiences and uses the ZigBee protocol to transmit control commands. This optimizes the output of light according to weather and produces quality roadway lighting, providing a safer driving environment.
format	article
author	Chun-Hsi Liu Chun-Yu Hsiao Jyh-Cherng Gu Kuan-Yi Liu Shu-Fen Yan Chien Hua Chiu Min Che Ho
author_facet	Chun-Hsi Liu Chun-Yu Hsiao Jyh-Cherng Gu Kuan-Yi Liu Shu-Fen Yan Chien Hua Chiu Min Che Ho
author_sort	Chun-Hsi Liu
title	HCL Control Strategy for an Adaptive Roadway Lighting Distribution
title_short	HCL Control Strategy for an Adaptive Roadway Lighting Distribution
title_full	HCL Control Strategy for an Adaptive Roadway Lighting Distribution
title_fullStr	HCL Control Strategy for an Adaptive Roadway Lighting Distribution
title_full_unstemmed	HCL Control Strategy for an Adaptive Roadway Lighting Distribution
title_sort	hcl control strategy for an adaptive roadway lighting distribution
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d60a58b69ff44dcb9e8d0ec72ab13cd0
work_keys_str_mv	AT chunhsiliu hclcontrolstrategyforanadaptiveroadwaylightingdistribution AT chunyuhsiao hclcontrolstrategyforanadaptiveroadwaylightingdistribution AT jyhchernggu hclcontrolstrategyforanadaptiveroadwaylightingdistribution AT kuanyiliu hclcontrolstrategyforanadaptiveroadwaylightingdistribution AT shufenyan hclcontrolstrategyforanadaptiveroadwaylightingdistribution AT chienhuachiu hclcontrolstrategyforanadaptiveroadwaylightingdistribution AT mincheho hclcontrolstrategyforanadaptiveroadwaylightingdistribution
_version_	1718437360868261888

HCL Control Strategy for an Adaptive Roadway Lighting Distribution

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