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.

Marino, F., Leccese, F., Pizzuti, S. (2017). Adaptive street lighting predictive control. ENERGY PROCEDIA, 111, 790-799 [10.1016/j.egypro.2017.03.241].

Adaptive street lighting predictive control

LECCESE, Fabio;
2017-01-01

Abstract

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.
Marino, F., Leccese, F., Pizzuti, S. (2017). Adaptive street lighting predictive control. ENERGY PROCEDIA, 111, 790-799 [10.1016/j.egypro.2017.03.241].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/309073
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