Advertisement

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

  • Ahmad M. Mustafa
  • Omar M. Abubakr
  • Ahmed H. Derbala
  • Essam Ahmed
  • Bassem MokhtarEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 179)

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.

Keywords

Smart cities Smart highway lighting Energy saving Wireless sensors network Traffic modeling Traffic simulation 

Notes

Acknowledgment

This work is a part of a graduation project at Department of Electrical Engineering, Faculty of Engineering, Alexandria University. We would like to thank all members of the team which yielded this research (Abdullah Nasser, Abdullah Fathy, Ahmed M. Samy, Ayman M. Abdel-Nasser, Ayman Adel and Amr Youssry). We would like also to thank the SmartCI research center at Faculty of Engineering, Alexandria University, Egypt for their support.

References

  1. 1.
    U.S. Department of Energy. http://www.energy.gov/
  2. 2.
    Chunguo, J., Yan, W., Wenyi, S., Xin, S.: Design of street light pole controller based on WSN. In: IEEE 10th International Conference on Electronic Measurement & Instruments (ICEMI), pp. 147–150 (2011)Google Scholar
  3. 3.
    Lian, L., Li, L.: Wireless dimming system for LED street lamp based on ZigBee and GPRS. In: IEEE 3rd International Conference on System Engineering and Modeling (ICSEM), pp. 100–102 (2012)Google Scholar
  4. 4.
    Castro, M., Jara, A.J., Skarmeta, A.F.G., Smart Lighting solutions for Smart Cities. In: IEEE 27th International Conference on Advanced Information Networking and Applications Workshops (INTICO), pp. 1374–1379 (2013)Google Scholar
  5. 5.
    Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. Phys. I France 2, 2221–2229 (1992)CrossRefGoogle Scholar
  6. 6.
    Yusoff, Y., Rosli, R., Kamaluddin, M., Samad, M.: Towards smart street lighting system in Malaysia. In: IEEE Symposium on Wireless Technology and Applications (ISWTA), pp. 301–305 (2013)Google Scholar
  7. 7.
    Mahoor, M., Najafaabadi, T., Salmasi, F.: A smart street lighting control system for optimization of energy consumption and lamp life. In: IEEE 22nd Iranian Conference on Electrical Engineering (ICEE), pp. 1290–1294 (2014)Google Scholar
  8. 8.
    Lavric, A., Popa, V., Sfichi, S.: Street lighting control system based on large-scale WSN: a step towards a smart city. In: IEEE International Conference and Exposition on Electrical and Power Engineering (EPE), pp. 673–676 (2014)Google Scholar
  9. 9.
    Wang, Y., Wang, Z.: Design of intelligent residential lighting control system based on ZigBee wireless sensor network and fuzzy controller. In: IEEE International Conference on Machine Vision and Human-machine Interface (MVHI), pp. 561–564 (2010)Google Scholar
  10. 10.
    Cheon, T.: Discrete Models of Traffic Flow eLectures. http://www.kochi-tech.ac.jp/
  11. 11.
    Chauhan, S., Kumar, L.: Survey paper on traffic flow control using cellular automata. IJIEASR 2, 1–7 (2013)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Biery, E., Shearer, T., Ledyard, R., Perkins, D., Feris, M.: Controlling LEDs. Technical white paper by Lutron Electronics Co. (2014)Google Scholar
  13. 13.
    Lavric, A., Popa, V., Finis, L., Simion, D.: The design and implementation of an energy efficient street lighting monitoring and control system. Przegląd Elektrotechniczny (Electrical Review) 11, 312–316 (2012)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  • Ahmad M. Mustafa
    • 1
  • Omar M. Abubakr
    • 1
  • Ahmed H. Derbala
    • 1
  • Essam Ahmed
    • 1
  • Bassem Mokhtar
    • 1
    Email author
  1. 1.Department of Electrical Engineering, Faculty of EngineeringAlexandria UniversityAlexandriaEgypt

Personalised recommendations