| Title |
A Smart City Adaptive Lighting System |
| ID_Doc |
39369 |
| Authors |
Gagliardi, G; Casavola, A; Lupia, M; Cario, G; Tedesco, F; Lo Scudo, F; Gaccio, FC; Augimeri, A |
| Title |
A Smart City Adaptive Lighting System |
| Year |
2018 |
| Published |
|
| DOI |
|
| Abstract |
This paper presents an urban smart lighting system capable to autonomously control the street lamp lighting level by exploiting data related to vehicles (bus, car, motorcycle and bike) and/or pedestrians traffic in a specific area. The system is able to set the lighting level on the basis of required needs and allows one to reduce energy costs. To this end, it makes use of local controllers, motion sensors, video-camera and electronic devices for video processing. In this way the inputs coming from the sensors is processed in order to optimally dim the lighting by applying an 1-10 V control input voltage to the fixture or driver. The control can be performed either on a decentralized fashion on each single street lamp or on a group of them. Experimental results show that with respect to a traditional street lamp system, the presented architecture allows energy saving up to 65% |
| Author Keywords |
Smart lighting; smart cities; video processing; power line communication; Zigbee communication; energy saving |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000444770700044 |
| WoS Category |
Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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