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A Traffic-Aware Street Lighting Scheme for Smart Cities using Autonomous Networked Sensors

A Traffic-Aware Street Lighting Scheme for Smart Cities using Autonomous Networked Sensors
A Traffic-Aware Street Lighting Scheme for Smart Cities using Autonomous Networked Sensors
Street lighting is a ubiquitous utility, but sustaining its operation presents a heavy financial and environmental burden. Many schemes have been proposed which selectively dim lights to improve energy efficiency, but little consideration has been given to the usefulness of the resultant street lighting system. This paper proposes a real-time adaptive lighting scheme, which detects the presence of vehicles and pedestrians and dynamically adjusts their brightness to the optimal level. This improves the energy efficiency of street lighting and its usefulness; a streetlight utility model is presented to evaluate this. The proposed scheme is simulated using an environment modelling a road network, its users, and a networked communication system - and considers a real streetlight topology from a residential area. The proposed scheme achieves similar or improved utility to existing schemes, while consuming as little as 1-2% of the energy required by conventional and state-of-the-art techniques.
Adaptive street lighting, smart streetlights, smart cities, networked sensing
0045-7906
Lau, Sei Ping
7f257719-b0b1-4666-8fc8-6c442f4dfc40
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Weddell, Alex S.
3d8c4d63-19b1-4072-a779-84d487fd6f03
White, Neil M.
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Lau, Sei Ping
7f257719-b0b1-4666-8fc8-6c442f4dfc40
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Weddell, Alex S.
3d8c4d63-19b1-4072-a779-84d487fd6f03
White, Neil M.
c7be4c26-e419-4e5c-9420-09fc02e2ac9c

Lau, Sei Ping, Merrett, Geoff V., Weddell, Alex S. and White, Neil M. (2015) A Traffic-Aware Street Lighting Scheme for Smart Cities using Autonomous Networked Sensors Computers & Electrical Engineering

Record type: Article

Abstract

Street lighting is a ubiquitous utility, but sustaining its operation presents a heavy financial and environmental burden. Many schemes have been proposed which selectively dim lights to improve energy efficiency, but little consideration has been given to the usefulness of the resultant street lighting system. This paper proposes a real-time adaptive lighting scheme, which detects the presence of vehicles and pedestrians and dynamically adjusts their brightness to the optimal level. This improves the energy efficiency of street lighting and its usefulness; a streetlight utility model is presented to evaluate this. The proposed scheme is simulated using an environment modelling a road network, its users, and a networked communication system - and considers a real streetlight topology from a residential area. The proposed scheme achieves similar or improved utility to existing schemes, while consuming as little as 1-2% of the energy required by conventional and state-of-the-art techniques.

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More information

Accepted/In Press date: 6 May 2015
Keywords: Adaptive street lighting, smart streetlights, smart cities, networked sensing
Organisations: Electronic & Software Systems, EEE

Identifiers

Local EPrints ID: 378424
URI: http://eprints.soton.ac.uk/id/eprint/378424
ISSN: 0045-7906
PURE UUID: cbdc926b-9009-45a4-a112-4b4ef43b8e95
ORCID for Geoff V. Merrett: ORCID iD orcid.org/0000-0003-4980-3894
ORCID for Alex S. Weddell: ORCID iD orcid.org/0000-0002-6763-5460
ORCID for Neil M. White: ORCID iD orcid.org/0000-0003-1532-6452

Catalogue record

Date deposited: 26 Jun 2015 14:26
Last modified: 17 Jul 2017 20:52

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Contributors

Author: Sei Ping Lau
Author: Geoff V. Merrett ORCID iD
Author: Alex S. Weddell ORCID iD
Author: Neil M. White ORCID iD

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