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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/21/9960 |
| _version_ | 1797512883464044544 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T06:07:29Z |
| format | Article |
| id | doaj.art-d60a58b69ff44dcb9e8d0ec72ab13cd0 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T06:07:29Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d60a58b69ff44dcb9e8d0ec72ab13cd02023-11-22T20:25:39ZengMDPI AGApplied Sciences2076-34172021-10-011121996010.3390/app11219960HCL Control Strategy for an Adaptive Roadway Lighting DistributionChun-Hsi Liu0Chun-Yu Hsiao1Jyh-Cherng Gu2Kuan-Yi Liu3Shu-Fen Yan4Chien Hua Chiu5Min Che Ho6Department of Electrical Engineering, National Taiwan University of Science and Technology (NTUST), Taipei City 106335, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology (NTUST), Taipei City 106335, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology (NTUST), Taipei City 106335, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology (NTUST), Taipei City 106335, TaiwanDepartment of Civil and Construction Engineering, National Taiwan University of Science and Technology (NTUST), Taipei City 106335, TaiwanExecutive Master of Business Administration, Royal Roads University (RRU), Victoria, BC V9B5Y2, CanadaDepartment of Civil Engineering, National Central University (NCU), Tao-Yuan 32011, TaiwanThis 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.https://www.mdpi.com/2076-3417/11/21/9960human-centric lighting (HCL)adaptive light distributionintelligent roadway lightingimaging luminance meterzonal fluxfreeform surface |
| spellingShingle | 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 Applied Sciences human-centric lighting (HCL) adaptive light distribution intelligent roadway lighting imaging luminance meter zonal flux freeform surface |
| title | 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_short | HCL Control Strategy for an Adaptive Roadway Lighting Distribution |
| title_sort | hcl control strategy for an adaptive roadway lighting distribution |
| topic | human-centric lighting (HCL) adaptive light distribution intelligent roadway lighting imaging luminance meter zonal flux freeform surface |
| url | https://www.mdpi.com/2076-3417/11/21/9960 |
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