Research Article
Evaluation of a Traffic-Aware Smart Highway Lighting System
@ARTICLE{10.4108/eai.21-12-2017.153508, author={Ahmad M. Mustafa and Omar M. Abubakr and Ahmed H. Derbala and Essam Ahmed and Bassem Mokhtar}, title={Evaluation of a Traffic-Aware Smart Highway Lighting System}, journal={EAI Endorsed Transactions on Future Internet}, volume={4}, number={12}, publisher={EAI}, journal_a={UE}, year={2017}, month={12}, keywords={Smart Highway Lighting, Energy Saving, Wireless Sensor Network, Traffic Modeling, Traffic Simulation.}, doi={10.4108/eai.21-12-2017.153508} }- Ahmad M. Mustafa
Omar M. Abubakr
Ahmed H. Derbala
Essam Ahmed
Bassem Mokhtar
Year: 2017
Evaluation of a Traffic-Aware Smart Highway Lighting System
UE
EAI
DOI: 10.4108/eai.21-12-2017.153508
Abstract
Highway lighting consumes considerable amounts of energy, yet smart lighting techniques provide significant potential for reducing this consumption. This paper introduces a preliminary algorithm, simulation studies and a small-scale hardware prototype for a smart highway lighting management system based on road occupancy. Wireless Sensor Network (WSN) detects the presence of vehicles along the road, and controls lighting accordingly. The system is evaluated through two different simulation studies: using a realistic model for vehicles traffic based on cellular automata (Nagel-Shreckenberg model), and using state-of-the-art Simulation of Urban Mobility (SUMO) traffic simulator. Simulations provide estimation for expected energy saving rates at different cases and scenarios. According to simulation results, the proposed system can save up to 57.4% of power consumption compared to conventional lighting systems.
Copyright © 2017 Ahmad. M. Mustafa et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
