| Title |
Adaptive street lighting predictive control |
| ID_Doc |
43908 |
| Authors |
Marino, F; Leccese, F; Pizzuti, S |
| Title |
Adaptive street lighting predictive control |
| Year |
2017 |
| Published |
|
| DOI |
10.1016/j.egypro.2017.03.241 |
| Abstract |
In this paper an implementation of a smart predictive monitoring and adaptive control system for the public lighting have been carried out. The vehicular traffic flow acquired using a smart camera has been analyzed and several predictive methods have been studied. Then, a control strategy based on the given traffic forecasts and on the dynamical street class downgrade allowed by the law, has been implemented. Experimental results provided by a real life testbed showed that the proposed strategy has high potential energy savings without affecting safety. (C) 2016 The Authors. Published by Elsevier Ltd. |
| Author Keywords |
predictive algorythms; public lighting; Basic Ensembling Method; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000400643800081 |
| WoS Category |
Green & Sustainable Science & Technology; Energy & Fuels |
| Research Area |
Science & Technology - Other Topics; Energy & Fuels |
| PDF |
https://doi.org/10.1016/j.egypro.2017.03.241
|