Applications for Future Internet. International Summit, AFI 2016, Puebla, Mexico, May 25-28, 2016, Revised Selected Papers

Research Article

Towards a Smart Highway Lighting System Based on Road Occupancy: Model Design and Simulation

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  • @INPROCEEDINGS{10.1007/978-3-319-49622-1_4,
        author={Ahmad Mustafa and Omar Abubakr and Ahmed Derbala and Essam Ahmed and Bassem Mokhtar},
        title={Towards a Smart Highway Lighting System Based on Road Occupancy: Model Design and Simulation},
        proceedings={Applications for Future Internet. International Summit, AFI 2016, Puebla, Mexico, May 25-28, 2016, Revised Selected Papers},
        proceedings_a={AFI360},
        year={2017},
        month={1},
        keywords={Smart cities Smart highway lighting Energy saving Wireless sensors network Traffic modeling Traffic simulation},
        doi={10.1007/978-3-319-49622-1_4}
    }
    
  • Ahmad Mustafa
    Omar Abubakr
    Ahmed Derbala
    Essam Ahmed
    Bassem Mokhtar
    Year: 2017
    Towards a Smart Highway Lighting System Based on Road Occupancy: Model Design and Simulation
    AFI360
    Springer
    DOI: 10.1007/978-3-319-49622-1_4
Ahmad Mustafa1,*, Omar Abubakr1,*, Ahmed Derbala1,*, Essam Ahmed1,*, Bassem Mokhtar1,*
  • 1: Alexandria University
*Contact email: ahm.alexeng@gmail.com, omar.abubakr.alexeng@gmail.com, eng.ahmedhassanderbala@gmail.com, essam.ahmed.alexeng@gmail.com, bmokhtar@alexu.edu.eg

Abstract

Energy saving is a major aspect of smart cities, so optimizing highway lighting is essential, as it consumes considerable amounts of energy. However, there is a remarkable potential for reducing this consumption through smart lighting techniques. This paper introduces preliminary design and simulation for a smart highway lighting management system based on road occupancy. Wireless Sensors Network (WSN) detects the presence of vehicles along the road, and controls lamps accordingly. The system is simulated and optimized using a realistic probabilistic model for vehicles traffic, taking the advantage of simulation to provide estimation for expected energy saving rates; in contrary to previous works depending only on rough calculations or real-time results after implementation. According to simulation results, the proposed system can save up to 57.4% of power consumption compared to conventional lighting systems.