Skip to main content
SpringerLink
Log in
Book cover

Ibero-American Congress of Smart Cities

ICSC-CITIES 2018: Smart Cities pp 18–28Cite as

Smart Campus Human Tracking: The Case of University of Málaga

  • Conference paper
  • First Online:

  • 703 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 978))

Abstract

Smart city initiatives have emerged to mitigate the negative effects of a very fast growth of urban areas. A number of universities are applying smart city solutions to face similar challenges in their campuses. In this study, we analyze the possibility of using low cost sensors based on detecting wireless signals of light commodity devices to track the movement of the members of the university community. This tracking information will help the university managers to provide the users with smart services. The first insight is that there were not detected barely movements through the campus during late-night/early morning hours (from 0:00H to 6:00H). In turn, the number of human flows sensed in a given direction is similar to the ones in the opposite one. The analysis of the sensed data has shown that the most mobility occurs during the opening and finishing school hours, as expected. Finally, we observed that the sensors are able to detect vehicular mobility.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    https://www.uma.es/smart-campus/.

  2. 2.

    http://smartcampus.prefeitura.unicamp.br/.

  3. 3.

    http://www.smartcampus.dtu.dk/.

  4. 4.

    http://smart.uji.es/.

References

  1. Abedi, N., Bhaskar, A., Chung, E., Miska, M.: Assessment of antenna characteristic effects on pedestrian and cyclists travel-time estimation based on bluetooth and WiFi MAC addresses. Transp. Res. Part C Emerg. Technol. 60, 124–141 (2015)

    Article  Google Scholar 

  2. Axhausen, K.W., Zimmermann, A., Schönfelder, S., Rindsfüser, G., Haupt, T.: Observing the rhythms of daily life: a six-week travel diary. Transportation 29(2), 95–124 (2002)

    Article  Google Scholar 

  3. Camero, A., Toutouh, J., Stolfi, D.H., Alba, E.: Evolutionary deep learning for car park occupancy prediction in smart cities. In: Battiti, R., Brunato, M., Kotsireas, I., Pardalos, P.M. (eds.) LION 12 2018. LNCS, vol. 11353, pp. 386–401. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-05348-2_32

    Chapter  Google Scholar 

  4. Fujino, T., Kitazawa, M., Yamada, T., Takahashi, M., Yamamoto, G., Yoshikawa, A., Terano, T.: Analyzingin-store shopping paths from indirect observation with RFIDtags communication data. J. Innov. Sustain. RISUS 5(1), 88–96 (2014). ISSN 2179-3565

    Article  Google Scholar 

  5. Hagemann, W., Weinzerl, J.: Automatische erfassung von umsteigern per bluetooth-technologie. Nahverkerspraxis, pp. 31–68. Springer, Heidelberg (2008)

    Google Scholar 

  6. Haseman, R., Wasson, J., Bullock, D.: Real-time measurement of travel time delay in work zones and evaluation metrics using bluetooth probe tracking. Transp. Res. Rec. J. Transp. Res. Board 2169, 40–53 (2010)

    Article  Google Scholar 

  7. Husted, N., Myers, S.: Mobile location tracking in metro areas: malnets and others. In: Proceedings of the 17th ACM Conference on Computer and Communications Security, pp. 85–96. ACM (2010)

    Google Scholar 

  8. Leduc, G.: Road traffic data: collection methods and applications. Working Papers on Energy, Transport and Climate Change, vol. 1, no. 55 (2008)

    Google Scholar 

  9. Liebig, T., Wagoum, A.U.K.: Modelling microscopic pedestrian mobility using bluetooth. In: ICAART, vol. 2, pp. 270–275 (2012)

    Google Scholar 

  10. Luque, J., Toutouh, J., Alba, E.: Reduction of the size of datasets by using evolutionary feature selection: the case of noise in a modern city. In: Herrera, F., Damas, S., Montes, R., Alonso, S., Cordón, Ó., González, A., Troncoso, A. (eds.) CAEPIA 2018. LNCS (LNAI), vol. 11160, pp. 230–239. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00374-6_22

    Chapter  Google Scholar 

  11. McMichael, I., Khoshnevisan, M.: Uniform sensitivity light curtain, 23 July 1996. uS Patent 5,539,198

    Google Scholar 

  12. Millonig, A., Gartner, G.: Shadowing-tracking-interviewing: How to explore human spatio-temporal behaviour patterns. In: BMI, pp. 1–14. Citeseer (2008)

    Google Scholar 

  13. Mir, Z.H., Toutouh, J., Filali, F., Alba, E.: QoS-aware radio access technology (RAT) selection in hybrid vehicular networks. In: Kassab, M., Berbineau, M., Vinel, A., Jonsson, M., Garcia, F., Soler, J. (eds.) Nets4Cars/Nets4Trains/Nets4Aircraft 2015. LNCS, vol. 9066, pp. 117–128. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-17765-6_11

    Chapter  Google Scholar 

  14. Nesmachnow, S., Rossit, D., Toutouth, J.: Comparison of multiobjective evolutionary algorithms for prioritized urban waste collection in montevideo, uruguay. Electron. Notes Discret. Math. 69, 93–100 (2018)

    Article  Google Scholar 

  15. Oosterlinck, D., Benoit, D.F., Baecke, P., Van de Weghe, N.: Bluetooth tracking of humans in an indoor environment: an application to shopping mall visits. Appl. Geogr. 78, 55–65 (2017)

    Article  Google Scholar 

  16. Pirzada, N., Nayan, M.Y., Hassan, F.S.M.F., Khan, M.A.: Device-free localization technique for indoor detection and tracking of human body: a survey. Procedia Soc. Behav. Sci. 129, 422–429 (2014)

    Article  Google Scholar 

  17. Sapiezynski, P., Stopczynski, A., Gatej, R., Lehmann, S.: Tracking human mobility using WiFi signals. PloS one 10(7), e0130824 (2015)

    Article  Google Scholar 

  18. Saxena, S., Brémond, F., Thonnat, M., Ma, R.: Crowd behavior recognition for video surveillance. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2008. LNCS, vol. 5259, pp. 970–981. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-88458-3_88

    Chapter  Google Scholar 

  19. Van der Spek, S., Van Schaick, J., De Bois, P., De Haan, R.: Sensing human activity: GPS tracking. Sensors 9(4), 3033–3055 (2009)

    Article  Google Scholar 

  20. Stolfi, D.H., Alba, E.: Smart mobility policies with evolutionary algorithms: the adapting info panel case. In: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO 2015, pp. 1287–1294. ACM, New York (2015)

    Google Scholar 

  21. Toutouh, J., Arellano-Verdejo, J., Alba, E.: Enabling low cost smart road traffic sensing. In: The 12th edition of the Metaheuristics International Conference (MIC 2017), pp. 13–15 (2017)

    Google Scholar 

  22. Toutouh, J., Rossit, D., Nesmachnow, S.: Computational intelligence for locating garbage accumulation points in urban scenarios. In: Battiti, R., Brunato, M., Kotsireas, I., Pardalos, P.M. (eds.) LION 12 2018. LNCS, vol. 11353, pp. 411–426. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-05348-2_34

    Chapter  Google Scholar 

  23. Versichele, M., Neutens, T., Claeys Bouuaert, M., Van de Weghe, N.: Time-geographic derivation of feasible co-presence opportunities from network-constrained episodic movement data. Trans. GIS 18(5), 687–703 (2014)

    Article  Google Scholar 

  24. Versichele, M., Neutens, T., Delafontaine, M., Van de Weghe, N.: The use of bluetooth for analysing spatiotemporal dynamics of human movement at mass events: a case study of the ghent festivities. Appl. Geogr. 32(2), 208–220 (2012)

    Article  Google Scholar 

  25. Wang, Y., Yang, J., Chen, Y., Liu, H., Gruteser, M., Martin, R.P.: Tracking human queues using single-point signal monitoring. In: Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services, pp. 42–54. ACM (2014)

    Google Scholar 

  26. Yamin, M., Ades, Y.: Crowd management with RFID and wireless technologies. In: First International Conference on Networks and Communications, NETCOM 2009, pp. 439–442. IEEE (2009)

    Google Scholar 

  27. Yu, Z., Liang, Y., Xu, B., Yang, Y., Guo, B.: Towards a smart campus with mobile social networking. In: 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, pp. 162–169 (2011)

    Google Scholar 

Download references

Acknowledgements

This research has been partially funded by the Spanish MINECO and FEDER projects TIN2017-88213-R (http://6city.lcc.uma.es) and TIN2016-81766-REDT (http://cirti.es). University of Malaga. International Campus of Excellence Andalucia TECH.

Author information

Authors and Affiliations

  1. Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Málaga, Spain

    Jamal Toutouh, Javier Luque & Enrique Alba

Authors
  1. Jamal Toutouh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Javier Luque
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Enrique Alba
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jamal Toutouh .

Editor information

Editors and Affiliations

  1. Universidad de la República, Montevideo, Uruguay

    Sergio Nesmachnow

  2. Universidad de Valladolid, Valladolid, Spain

    Luis Hernández Callejo

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Toutouh, J., Luque, J., Alba, E. (2019). Smart Campus Human Tracking: The Case of University of Málaga. In: Nesmachnow, S., Hernández Callejo, L. (eds) Smart Cities. ICSC-CITIES 2018. Communications in Computer and Information Science, vol 978. Springer, Cham. https://doi.org/10.1007/978-3-030-12804-3_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-12804-3_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12803-6

  • Online ISBN: 978-3-030-12804-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation