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An Approach to the Garbage Collection’s Simulation in the “Smart Clean City” Project

  • Olga DolininaEmail author
  • Vitaly Pechenkin
  • Nikolay Gubin
  • Vadim Kushnikov
Conference paper
Part of the Lecture Notes in Intelligent Transportation and Infrastructure book series (LNITI)

Abstract

Simulation modeling of complex dynamic systems is one of the most important elements for their analysis. In this paper there is considered a problem of modeling of the solid waste management process, which is a part of a wide range of “Smart City” concepts. Mathematical model for solving optimization problems and transport scheduling for the targeted garbage collection is suggested. The model is based on the apparatus of Petri nets with priorities. The priorities of Petri net transitions are considered as probabilistic characteristics of the live transitions in the network. Changing priorities allow to customize the Petri net behavior according to existing empirical data. Results allow to investigate the impact of the whole process quantitative characteristics on the solid waste disposal such as speed of filling of waste containers, the number of trucks used, the waiting time for the job assignment and some others.

Keywords

Smart city Simulation modeling Garbage collection Source transition Priority petri net 

References

  1. 1.
    Global Innovators: International Case Studies on Smart Cities.: Research paper number 135. https://www.gov.uk/government/publications/smart-cities-international-case-studies-global-innovators. Oct 2013
  2. 2.
    Chourabi, H., Nam, T. et al.: Understanding smart cities: an integrative framework. In: Proceedings of the 2012 45th Hawaii International Conference on System Sciences, IEEE Computer Society, pp. 2289–2296 (2012)Google Scholar
  3. 3.
    IEEE Smart City definition.: http://smartcities.ieee.org/about
  4. 4.
    Toppeta D.: The Smart City Vision: How Innovation and ICT Can Build Smart, “Livable”, Sustainable Cities. The Innovation Knowledge Foundation (2010). https://inta-aivn.org/
  5. 5.
    Dolinina, O., Brovko, A., Pechenkin, V.: Method of the management of garbage collection in the “Smart Clean City” project. In: Communications in Computer and Information Science, Proceedings of 24th International Conference on Computer Networks, vol. 718, pp. 432–443 (2017)Google Scholar
  6. 6.
    Huang, Y, Chung, T.: Modeling and Analysis of Urban Traffic Lights Control Systems Using Timed CP-nets. J. Inf. Sci. Eng. 24: 875–890 (2008). http://www.iis.sinica.edu.tw/page/jise/2008/200805_13.pdf
  7. 7.
    DiCesare, F., Kulp, P.T., Gile, M., List, G.: The application of Petri nets to the modeling, analysis and control of intelligent urban traffic networks. In: Valette R. (eds) Application and theory of Petri nets. Lecture notes in computer science, vol. 815 (1994). https://link.springer.com/chapter/10.1007%2F3-540-58152-9_2Google Scholar
  8. 8.
    Benarbia, T., Labadi, K., Moumen, D., Chayet, M.: Modeling and control of self-service public bicycle systems by using Petri nets. Int. J. Model. Ident. Control 17, 173–194 (2012)CrossRefGoogle Scholar
  9. 9.
    Malkov, M.V., Maligina, S.N.: Petri nets and modeling. In: Proceedings of the Kolsk Science Center RAS. vol 3, pp. 35–40 (2010). (in Russian)Google Scholar
  10. 10.
    Verbeek, H.M.W., Wynn, M.T., van der Aalst, W.M.P., Hofstede, A.H.M.: Reduction rules for reset/inhibitor nets. J. Comput. Sys. Sci. 76(2), 125–143 (2010)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Best, E., Koutny, M.: Petri net semantics of priority systems. Theoret. Comput. Sci. 96(1), 175–215 (1992)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Lomazova, I.A., Popova-Zeugmann, L.: Controlling Petri net behavior using priorities for transitions. Fundamenta informaticae 143(1–2), 101–112 (2016)MathSciNetCrossRefGoogle Scholar
  13. 13.
    Ryabtsev, V.G., Utkina, TYu.: Information technology for design of automated control of technological processes systems. Control, Commun. Secur. Syst. 1, 207–239 (2016). (in Russian)Google Scholar
  14. 14.
    Naumov, V.S.: Petri nets in modeling the process of freight forwarding services. Road Trans. (Kharkov) 24, 120–124 (2009). (in Russian)Google Scholar
  15. 15.
    Anagnostopoulos, T., Zaslavsky, A., Medvedev, A., Khoruzhnikov, S.: Top-k query based dynamic scheduling for IoT-enabled smart city waste collection. In: Proceedings of the 16th IEEE International Conference on Mobile Data Management (MDM 2015), Pittsburgh, US (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Information Systems and TechnologyYuri Gagarin State Technical University of Saratov, SSTUSaratovRussia
  2. 2.Institute of Precise Mechanics & ControlRussian Academy of ScienceSaratovRussia

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