Energy-efficient street lighting through embedded adaptive intelligence

Lau, Sei Ping, Merrett, Geoff V. and White, Neil M. (2013) Energy-efficient street lighting through embedded adaptive intelligence At Symposium on Intelligent Transportation Systems (ICALT-ITS’2013), Tunisia. 29 - 31 May 2013. (doi:10.1109/ICAdLT.2013.6568434).


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Streetlights place a heavy demand on electricity usage, providing significant financial and environmental burdens. Consequently, initiatives to reduce energy consumption have been proposed, usually by turning off or dimming the streetlight. In this paper, we propose an adaptive lighting scheme based on traffic sensing, which adaptively adjusts streetlight brightness based on current traffic conditions. The algorithm has been validated through simulation using the SUMO and OMNeT++ tools and, for two different geographical locations, the energy consumption evaluated with respect to traffic speed and volume. The simulation results presented indicate that the proposed lighting scheme can consume up to 30% less energy when compared to the state-of-the-art.

Item Type: Conference or Workshop Item (Paper)
Digital Object Identifier (DOI): doi:10.1109/ICAdLT.2013.6568434
Venue - Dates: Symposium on Intelligent Transportation Systems (ICALT-ITS’2013), Tunisia, 2013-05-29 - 2013-05-31
Related URLs:
Subjects: T Technology > TE Highway engineering. Roads and pavements
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Organisations: Electronic & Software Systems, EEE
ePrint ID: 350780
Date :
Date Event
29 May 2013Published
Date Deposited: 08 Apr 2013 13:15
Last Modified: 17 Apr 2017 15:45
Further Information:Google Scholar

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