Logo PTI Logo FedCSIS

Position Papers of the 17th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 31

Open Data for simulation to determine the efficient management of parking spaces in Smart City

, , , , ,

DOI: http://dx.doi.org/10.15439/2022F277

Citation: Position Papers of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 31, pages 99–106 ()

Full text

Abstract. The problem of optimization and effective management of parking spaces is one of the main problems faced by modern cities. Therefore, in creating Smart Cities solutions, more and more attention is focused on the possibilities of using advanced ICT tools to improve these processes. According to the authors of the article, such a method can be the creation of the so-called Digital Twin. In order to present the simulation possibilities that can be achieved by using a Digital Twin, the authors identified the chances of obtaining the data resources necessary for creating the simulation. Identification and evaluation of data sources had a character of a pilot study and referred to four car parks located in Wroclaw. On the example of one of them, an attempt was made to create an indicator of the type of traffic. The theoretical considerations and research presented in the paper are elements of research on creating Smart City solutions carried out by the team of authors.

References

  1. Bandini, S., Manzoni, S., Vizzari, G. (2009). Agent Based Modeling and Simulation: An Informatics Perspective, Journal of Artificial Societies and Social Simulation 12 (4).
  2. Batty, M. (2018). Digital twins. Environment and Planning B: Urban Analytics and City Science, 45(5), 817-820.
  3. Caputo, F., Greco, A., Fera, M., & Macchiaroli, R. (2019). Digital twins to enhance the integration of ergonomics in the workplace design. International Journal of Industrial Ergonomics, 71, 20-31.
  4. Dullinger, K.H. (2009). Simulation in der Logistik - neue Anwendungsfelder. LogForum, Vol. 5, Issue 3, 1-12.
  5. Jiang, Y., Yin, S., Li, K., Luo, H., & Kaynak, O. (2021). Industrial applications of digital twins. Philosophical Transactions of the Royal Society A, 379(2207), 20200360.
  6. Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020). Characterising the Digital Twin: A systematic literature review. CIRP Journal of Manufacturing Science and Technology, 29, 36-52.
  7. Koliński, A., Śliwczyński, B., Golińska-Dawson, P. (2019). Wykorzystanie symulacji jako narzędzia wspomagającego proces oceny efektywności produkcji w przedsiębiorstwach produkcyjnych. E-mentor nr 3 (75) / 2018.
  8. Pylianidis, C., Osinga, S., & Athanasiadis, I. N. (2021). Introducing digital twins to agriculture. Computers and Electronics in Agriculture, 184, 105942.
  9. Rodawski, B. (2006). Simulation of logistics processes. LogForum, Vol. 2, Issue 1, 1-15.
  10. Vatn, J. (2018, June). Industry 4.0 and real-time synchronization of operation and maintenance. In in Proceedings of the 28th International European Safety and Reliability Conference (pp. 681-5).
  11. Shahat, E., Hyun, C. T., & Yeom, C. (2021). City digital twin potentials: A review and research agenda. Sustainability, 13(6), 3386.
  12. www1 https://theodi.org/what-is-open-data (date of access: 15.04.2022).
  13. www2 https://www.force11.org/group/fairgroup/fairprinciples (date of access: 17.04.2022).
  14. www3 https://www.parp.gov.pl/component/content/article/71119:otwarte-dane-filarem-innowacyjnej-gospodarki-co-przyniesie-nowa-ustawa#_edn1 (date of access: 15.04.2022).
  15. www4 http://theodi.org/guides/the-open-data-consumers-checklist (date of access: 17.04.2022).
  16. www5 https://data.europa.eu/pl/trening/what-open-data (date of access: 15.04.2022).