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Using a Multi-agent System for Overcoming Flickering Effect in Distributed Large-Scale Customized Lighting Design

  • Adam Sędziwy
  • Leszek Kotulski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10751)

Abstract

Designing of the large scale roadway lighting installations is a complex task for the sake of its computational complexity. Additionally, each project has to meet the mandatory lighting standard requirements and business constraints such as investment costs of an installation, its energy efficiency and so on. The important issue one has to face to comply with lighting standards in the large-scale projects is resolving all conflicts arising in areas where two or more streets with different lighting requirements meet. The common problem for such shared areas is that the installation’s adjustments depend on for which street they were calculated. This behavior may cause the flickering effect (Note that the term flickering refers in this article to a non convergent behavior of an optimization process and not to a light flickering).The agent-based method of lighting design proposed in the previous works assumed optimization with agents traversing a global structure representing an urban area and adjusting subsequent installations. Now we propose yet another method relying on a multi-agent system approach, assuming that agents operate on the local portions of global data. We also discuss the flickering effect being a result of conflicts among agents and propose methods of their resolution. It has to be stressed that overcoming this problem is necessary for making the proposed approach to be applicable in practical solutions.

Keywords

Multi-agent system Custom lighting design LED Flickering effect 

References

  1. 1.
    CEN 13201–2, E.C.F.S.: Road lighting - part 2: Performance requirements. (2003) Ref. No. EN 13201–2:2003 EGoogle Scholar
  2. 2.
    Commission Internationale de l’Eclairage: Lighting of roads for motor and pedestrian traffic, CIE 115:2010. CIE, Vienna (2010)Google Scholar
  3. 3.
    Peña-García, A., Gil-Martín, L., Hernández-Montes, E.: Use of sunlight in road tunnels: an approach to the improvement of light-pipes’ efficacy through heliostats. Tunn. Undergr. Space Technol. 60, 135–140 (2016)CrossRefGoogle Scholar
  4. 4.
    Fan, S., Yang, C., Wang, Z.: Automatic control system for highway tunnel lighting. In: Li, D., Liu, Y., Chen, Y. (eds.) CCTA 2010. IAICT, vol. 347, pp. 116–123. Springer, Heidelberg (2011).  https://doi.org/10.1007/978-3-642-18369-0_14 CrossRefGoogle Scholar
  5. 5.
    Sędziwy, A., Kotulski, L.: Graph-based optimization of energy efficiency of street lighting. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2015. LNCS (LNAI), vol. 9120, pp. 515–526. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-19369-4_46 CrossRefGoogle Scholar
  6. 6.
    Sȩdziwy, A.: Sustainable street lighting design supported by hypergraph-based computational model. Sustainability 8(1), 13 (2016)Google Scholar
  7. 7.
    Sȩdziwy, A.: A new approach to street lighting design. LEUKOS 12(3), 151–162 (2016)CrossRefGoogle Scholar
  8. 8.
    Mahoor, M., Salmasi, F.R., Najafabadi, T.A.: A hierarchical smart street lighting system with brute-force energy optimization. IEEE Sens. J. 17(9), 2871–2879 (2017)CrossRefGoogle Scholar
  9. 9.
    Feng, X., Murray, A.T.: Spatial analytics for enhancing street light coverage of public spaces. LEUKOS.  https://doi.org/10.1080/15502724.2017.1321486 (2017)
  10. 10.
    Sȩdziwy, A., Kotulski, L.: Multi-agent system supporting automated gis-based photometric computations. Procedia Comput. Sci. 80, 824–833 (2016)CrossRefGoogle Scholar
  11. 11.
    Wojnicki, I., Ernst, S., Kotulski, L., Sȩdziwy, A.: Advanced street lighting control. Expert Syst. Appl. 41(4, Part 1), 999–1005 (2014)Google Scholar
  12. 12.
    Angles, R., Gutierrez, C.: Survey of graph database models. ACM Comput. Surv. 40(1), 1:1–1:39 (2008)CrossRefGoogle Scholar
  13. 13.
    Shahzad, G., Yang, H., Ahmad, A.W., Lee, C.: Energy-efficient intelligent street lighting system using traffic-adaptive control. IEEE Sens. J. 16(13), 5397–5405 (2016)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.AGH University of Science and TechnologyKrakówPoland

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