On Distributed Reflexive Complex Mechanisms of Decision-making in a Transportation System of a Smart city

  • Authors

    • Denis Fedyanin
    • Yuri Vershinin
    2018-05-16
    https://doi.org/10.14419/ijet.v7i2.28.12903
  • sensors, information fusion, smart city, safety
  • We describe distributed reflexive complex mechanisms of decision-making in a SMART city. These complex mechanisms are a cognitive self-organizing decision support system for development governance. These mechanisms utilize local information from all nearby sensors of city sensors on buildings, sensors on other cars, sensors on pedestrians and some additional information. We describe the way to a new level of safety of citizens by additional vision and automated reasoning.  It provide transparency in Augmented Reality Devices by virtually eliminating obstacles e.g. buildings. The problem is that development of a city is a process so people still have to make suggestions and now these suggestions are about awareness of other agents. Distributed reflexive complex mechanisms can assist and support their decisions in solving these problems.

     

     

  • References

    1. [1] IEEE Smart city community. https://smartcities.ieee.org/

      [2] Vershinin Y. “Modelling and simulation of road transport networks in Coventry Cityâ€, presentation on the EU Project Conference “Holistic Personal public Eco-mobility (HoPE)â€, Brussels, Belgium, May (2017), (http://hope-eu-project.eu/index.php/home/final-conference).

      [3] Goubko M., Burkov V.N., Novikov D.A., Korgin N.A. (2015). “Introduction to Theory of Control in Organizationsâ€. 262 P.

      [4] Novikov D., Chkhartishvili, A. “Reflexion & Control: Mathematical modelsâ€. Series: Communications in Cybernetics, Systems Science and Engineering (Book 5). CRC Press. March 10, (2014). 298p..

      [5] Yuri A. Vershinin, “Digital Non-Contact Surface Reconstruction Scannerâ€, in Proceedings of the International Multi-Conference of Engineers and Computer Scientists (2013). Vol. I. IMECS 2013, March 13-15. (2013). pp. 478-483. Hong Kong, ISBN: 978-988-19251-8-3,

      [6] Novikov D., Korepanov V., Chkhartishvili A. “Reflexion in mathematical models of decision-makingâ€. International Journal of Parallel, Emergent and Distributed Systems. (2018). pp. 1-17.

      [7] Louta M., Mpanti K., Karetsos G., Lagkas T., "Mobile crowd sensing architectural frameworks: A comprehensive survey". 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA), Chalkidiki, (2016), pp. 1-7.

      [8] Vershinin Y. “Design of Automotive Telemetry Systems for Autonomous Vehicle and Vehicle to Infrastructure Communicationâ€, presentation on the European Technology Platform on Smart Systems Integration (EPoSS) / KTN Workshop on IoT Large Scale Pilots, HORIZON-2020 Work Programme 2016-2017, (2015) London, UK;

      [9] Mitchell H. B. “Data Fusion: Concepts and Ideasâ€. Springer-Verlag Berlin Heidelberg. (2012). XIV, 346 p.

      [10] Vershinin Y.A, “Passive and Active Suspension Systems for Automotive Applicationsâ€, The 5th International Conference on Modelling, Identification and Control (ICMIC-2013), Cairo University, Egypt, 31 August - 1 September (2013)

      [11] Fagin R., Moses Y., Halpern J. Y. , Vardi M. Y. “Reasoning About Knowledgeâ€. MIT Press, (2003).517 P.

      [12] Vershinin Y. Presentation on the topic “Decentralized Kalman Filterâ€, Institute of Control Sciences of Russian Academy of Sciences (ICS RAS), Moscow, August (2017).

      [13] Pynadath, David V., et al. "A Nearest-Neighbor Approach to Recognizing Subjective Beliefs in Human-Robot Interaction." (2018).

      [14] Fedyanin D. “Threshold and Network generalizations of Muddy Faces Puzzle†/ Proceedings of the 11th IEEE International Conference on Application of Information and Communication Technologies (AICT2017, Moscow). М.: IEEE, (2017). V.1. P. 256-260.

      [15] Zanella A., Bui N., Castellani A., Vangelista L. and Zorzi M., "Internet of Things for Smart Cities," in IEEE Internet of Things Journal, vol. 1, no. 1, (2014). pp. 22-32, Feb.

      [16] Chen, C., Jafari, R. & Kehtarnavaz, N. “A survey of depth and inertial sensor fusion for human action recognitionâ€. Multimed Tools Appl (2017) 76: 4405.

      [17] Fedyanin N. Presentation “Safety of A SMART city: Power of Transparency†in ZF company.

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  • How to Cite

    Fedyanin, D., & Vershinin, Y. (2018). On Distributed Reflexive Complex Mechanisms of Decision-making in a Transportation System of a Smart city. International Journal of Engineering & Technology, 7(2.28), 164-167. https://doi.org/10.14419/ijet.v7i2.28.12903