Development of the information system for navigation in modern university campus

Liudmyla E. Gryzun; Oleksandr V. Shcherbakov; Bogdan O. Bida

doi:10.55056/cte.566

Authors

Liudmyla E. Gryzun Simon Kuznets Kharkiv National University of Economics https://orcid.org/0000-0002-5274-5624
Oleksandr V. Shcherbakov Simon Kuznets Kharkiv National University of Economics
Bogdan O. Bida Simon Kuznets Kharkiv National University of Economics https://orcid.org/0000-0003-0648-5507

DOI:

https://doi.org/10.55056/cte.566

Keywords:

indoor navigation, information system for navigation, university campus, web technologies, problem of the shortest path search

Abstract

According to the aims, the paper highlights algorithmic, interface and technological solutions for the development of the information system for navigation in university campus. In the process of searching for algorithmic and interface solutions, the peculiarities of the scientific and applied problem of indoor navigation were analyzed, as well as the capabilities of selected analogues of navigation systems implementing similar functions of this subject domain were evaluated. It was concluded that the analyzed analogues, despite their significant functionality, have the set of limitations. The specification of functional and non-functional requirements for the university navigation system was carried out, its architecture was defined as a set of interconnected modules, for the implementation of which appropriate interface and algorithmic solutions were elaborated and covered. The main stages of design and development of the university navigation system in the context of the elaborated solutions are highlighted. The functionality of the implemented system is characterized. It was established that during the design it was possible to overcome the main limitations inherent in similar systems implementing indoor navigation. The results of the system implementation in the educational practice of a national university are highlighted. Feedback from users received during the approbation testified the feasibility of developing and using the information system for navigation in university campus. The prospects for further work are formulated.

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References

Aleshko, E., Yakymenko, M. and Polishchuk, L., 2019. Algorytmy ta structury danyh. Student book. Kropyvn.

Atia, M.M., Liu, S., Nematallah, H., Karamat, T.B. and Noureldin, A., 2015. Integrated Indoor Navigation System for Ground Vehicles With Automatic 3-D Alignment and Position Initialization. IEEE Transactions on Vehicular Technology, 64(4), pp.1279–1292. Available from: https://doi.org/10.1109/TVT.2015.2397004. DOI: https://doi.org/10.1109/TVT.2015.2397004

Basiri, A., Lohan, E.S., Moore, T., Winstanley, A., Peltola, P., Hill, C., Amirian, P. and Figueiredo e Silva, P., 2017. Indoor location based services challenges, requirements and usability of current solutions. Computer Science Review, 24, pp.1–12. Available from: https://doi.org/10.1016/j.cosrev.2017.03.002. DOI: https://doi.org/10.1016/j.cosrev.2017.03.002

Bayerische Staatsbibliothek, 2023. BSB Navigator. Available from: https://www.bsb-muenchen.de/en/search-and-service/apps/bsb-navigator/.

Brunello, A., Montanari, A. and Saccomanno, N., 2022. A Framework for Indoor Positioning Including Building Topology. IEEE Access, 10, pp.114959–114974. Available from: https://doi.org/10.1109/ACCESS.2022.3218301. DOI: https://doi.org/10.1109/ACCESS.2022.3218301

dmslucy, 2020. Anyplace Indoor Service. Available from: https://play.google.com/store/apps/details?id=com.dmsl.anyplace&hl=en&gl=US.

Fierens, W., 2021. SVG.js v3.1. Available from: https://svgjs.dev/docs/3.1/.

Fine, Y. and Moiseev, A., 2018. Angular and TypeScript. Sitebuilding for professionals.

Floyd, R.W., 1962. Algorithm 97: Shortest Path. Commun. ACM, 5(6), p.345. Available from: https://doi.org/10.1145/367766.368168. DOI: https://doi.org/10.1145/367766.368168

Idrees, A., Iqbal, Z. and Ishfaq, M., 2015. An efficient indoor navigation technique to find optimal route for blinds using QR codes. 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA). pp.690–695. Available from: https://doi.org/10.1109/ICIEA.2015.7334197. DOI: https://doi.org/10.1109/ICIEA.2015.7334197

Ingerman, P.Z., 1962. Algorithm 141: Path Matrix. Commun. ACM, 5(11), p.556. Available from: https://doi.org/10.1145/368996.369016. DOI: https://doi.org/10.1145/368996.369016

Kleene, S.C., 1956. Representation of Events in Nerve Nets and Finite Automate. In: C.E. Shannon and J. McCarthy, eds. Automata Studies. Princeton Univ. Press, Annals of Mathematics Studies, vol. 34, pp.1–44. Available from: http://www.dlsi.ua.es/~mlf/nnafmc/papers/kleene56representation.pdf.

Kunhoth, J., Karkar, A., Al-Maadeed, S. and Al-Ali, A., 2020. Indoor positioning and wayfinding systems: a survey. Human-centric Computing and Information Sciences, 10(1), p.18. Available from: https://doi.org/10.1186/s13673-020-00222-0. DOI: https://doi.org/10.1186/s13673-020-00222-0

Liveli, 2023. Technology. Available from: https://www.liveli.com.au/Our-Technology.

MapsIndoors, 2023. AAU Maps. Available from: https://clients.mapsindoors.com/aau/venues.

Pikseli realnye i virtualnye (“Anatomiia svetodiodnogo ekrana”, chast 11), 2015. Available from: https://www.sea.com.ua/ua/led-ekrany/news/pikseli-realnye-i-virtualnye-anatomia-svetodiodnogo-ekrana-cast-11/.

Ramadiani, Bukhori, D., Azainil and Dengen, N., 2018. Floyd-Warshall algorithm to determine the shortest path based on Android. IOP Conference Series: Earth and Environmental Science, 144(1), p.012019. Available from: https://doi.org/10.1088/1755-1315/144/1/012019. DOI: https://doi.org/10.1088/1755-1315/144/1/012019

Roy, B., 1959. Transitivité et connexité. C. r. acad. sci. paris, 249, p.216–218. Available from: https://gallica.bnf.fr/ark:/12148/bpt6k3201c/f222.image.

Savchuk, V. and Pasichnyk, V., 2015. Intelectual system “Mobile inforamation assistant of a tourist”: functional and technological features. Visnyk Nats. Un-tu “Lvivska politechnika”, 832: Information systems and networks, pp.225–241.

Shao, Z., Cheema, M.A. and Taniar, D., 2017. Trip Planning Queries in Indoor Venues. The Computer Journal, 61(3), pp.409–426. Available from: https://doi.org/10.1093/computer_journal/bxx107. DOI: https://doi.org/10.1093/computer_journal/bxx107

Situm Technologies, 2024. Indoor Navigation and Indoor Wayfinding. Available from: https://situm.com/en/indoor-navigation/.

Troncone, B., 2023. Introduction - Learn RxJS. Available from: https://www.learnrxjs.io/.