Abstract
Modern elevators became into wide use some 150 years ago. With the advancement of technology, the main task of elevators has remained the same – transport people and goods in between floors – yet elevators have become more sophisticated with a trend towards smart elevators. Have you ever wondered why some people always stand in the same place, or what is your favourite sport to stand in an elevator? In this study, we use an existing smart elevator platform to explore passengers’ in-cabin behaviour while travelling from one floor to another as a part of human behavioural patterns. For this, we establish a location analysis model, evaluation method, and analyse real elevator passengers’ data. We show that while travelling alone, passengers tend to choose their favourite position inside the cabin.
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References
Allen, J.: Speech Recognition and Synthesis, pp. 1664–1667. John Wiley and Sons Ltd., GBR (2003)
Bamunuarachchi, D.T., Ranasinghe, D.N.: Elevator group optimization in a smart building. In: 2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS), pp. 71–76 (2015)
Bernard, A.: Lifted: A Cultural History of the Elevator. NYU Press, New York (2014)
Bharti, H., Saxena, R.K., Sukhija, S., Yadav, V.: Cognitive model for smarter dispatch system/elevator. In: 2017 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), pp. 21–28 (2017)
Brand, M., Nikovski, D.: Optimal parking in group elevator control. In: Proceedings of IEEE International Conference on Robotics and Automation, ICRA 2004, vol. 1, pp. 1002–1008, April 2004
Calinescu, R., Cámara, J., Paterson, C.: Socio-cyber-physical systems: models, opportunities, open challenges. In: 2019 IEEE/ACM 5th Intl Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS), pp. 2–6 (2019)
Cassandras, C.G.: Smart cities as cyber-physical social systems. Engineering 2(2), 156–158 (2016)
Chou, S., Budhi, D.A., Dewabharata, A., Zulvia, F.E.: Improving elevator dynamic control policies based on energy and demand visibility. In: 2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG), pp. 1–4 (2018)
Dressler, F.: Cyber physical social systems: towards deeply integrated hybridized systems. In: 2018 International Conference on Computing, Networking and Communications (ICNC), pp. 420–424 (2018)
Fernandez, J.R., Cortes, P.: A survey of elevator group control systems for vertical transportation: a look at recent literature. IEEE Control Syst. Mag. 35(4), 38–55 (2015)
Fujimura, T., Ueno, S., Tsuji, H., Miwa, H.: Control algorithm for multi-car elevators with high transportation flexibility. In: 2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE), pp. 544–545 (2013)
Ge, H., Hamada, T., Sumitomo, T., Koshizuka, N.: Intellevator: a context-aware elevator system for assisting passengers. In: 2018 IEEE 16th International Conference on Embedded and Ubiquitous Computing (EUC), pp. 81–88 (2018)
Goetsu, S., Sakai, T.: Voice input interface failures and frustration: Developer and user perspectives. In: The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology, UIST 2019, pp. 24–26. Association for Computing Machinery, New York (2019)
Heyes, E., Spearpoint, M.: Lifts for evacuation - human behaviour considerations. Fire Mater. 36(4), 297–308 (2012)
Ketkar, S.S., Mukherjee, M.: Speech recognition system. In: Proceedings of the International Conference and Workshop on Emerging Trends in Technology, ICWET 2011, pp. 1234–1237. Association for Computing Machinery, New York (2011)
Kwon, O., Lee, E., Bahn, H.: Sensor-aware elevator scheduling for smart building environments. Build. Environ. 72, 332–342 (2014)
Lee, E.A., Seshia, S.A.: Introduction to Embedded Systems: A Cyber-Physical Systems Approach, 2nd edn. The MIT Press, Cambridge (2016)
Leier, M., et al.: Smart elevator with unsupervised learning for visitor profiling and personalised destination prediction. In: 2021 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), pp. 9–16 (2021)
Liang, C.J.M., Tang, J., Zhang, L., Zhao, F., Munir, S., Stankovic, J.A.: On human behavioral patterns in elevator usages. In: Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, BuildSys 2013, pp. 1–2. Association for Computing Machinery, New York (2013)
Lin, K.K., Lupin, S., Vagapov, Y.: Analysis of lift control system strategies under uneven flow of passengers. In: Camarinha-Matos, L.M., Falcão, A.J., Vafaei, N., Najdi, S. (eds.) DoCEIS 2016. IAICT, vol. 470, pp. 217–225. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-31165-4_22
Randall, F.E., Damon, A., Benton, R.S., Patt, D.I.: Human body size in military aircraft and personal equipment (1946)
Reinsalu, U., Robal, T., Leier, M.: Floor selection proposal for automated travel with smart elevator. In: Robal, T., Haav, H.-M., Penjam, J., Matulevičius, R. (eds.) DB&IS 2020. CCIS, vol. 1243, pp. 38–51. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-57672-1_4
Robal, T., Reinsalu, U., Leier, M.: Towards personalized elevator travel with smart elevator system. Baltic J. Mod. Comput. 8(4), 675–697 (2020). https://doi.org/10.22364/bjmc.2020.8.4.12
Robal, T., Zhao, Y., Lofi, C., Hauff, C.: Webcam-based attention tracking in online learning: a feasibility study. In: 23rd International Conference on Intelligent User Interfaces, IUI 2018, pp. 189–197. ACM, New York (2018)
Ronchi, E., Nilsson, D.: Fire evacuation in high-rise buildings: a review of human behaviour and modelling research. Fire Sci. Rev. 2(1), 1–21 (2013). https://doi.org/10.1186/2193-0414-2-7
Ross, S., Brownholtz, E., Armes, R.: Voice user interface principles for a conversational agent. In: Proceedings of the 9th International Conference on Intelligent User Interfaces, IUI 2004, pp. 364–365. Association for Computing Machinery, New York (2004)
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 3rd edn. Prentice Hall Press, New York (2009)
Silva, E.M., Boaventura, M., Boaventura, I.A.G., Contreras, R.C.: Face recognition using local mapped pattern and genetic algorithms. In: Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2018, pp. 11–17. Association for Computing Machinery, New York (2018)
Sorsa, J., Kuusinen, J.M., Siikonen, M.L.: Passenger batch arrivals at elevator lobbies. Elevator World 61(1), 108–120 (2013)
Sorsa, J., Siikonen, M.L., Kuusinen, J.M., Hakonen, H.: A field study and analysis of passengers arriving at lift lobbies in social groups in multi-storey office, hotel and residential buildings. Build. Serv. Eng. Res. Technol. 42(2), 197–210 (2021)
Stark, L.: Facial recognition is the plutonium of AI. XRDS 25(3), 50–55 (2019)
Turunen, M., et al.: Mobile interaction with elevators: improving people flow in complex buildings. In: Proceedings of Intl Conference on Making Sense of Converging Media, AcademicMindTrek 2013, pp. 43–50. ACM, New York (2013)
Wang, F., Tang, J., Zong, Q.: Energy-consumption-related robust optimization scheduling strategy for elevator group control system. In: 2011 IEEE 5th Intl Conference on Cybernetics and Intelligent Systems (CIS), pp. 30–35, September 2011
Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: a literature survey. ACM Comput. Surv. 35(4), 399–458 (2003)
Zhuge, H.: Cyber-physical society-the science and engineering for future society. Futur. Gener. Comput. Syst. 32, 180–186 (2014)
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Basov, K., Robal, T., Reinsalu, U., Leier, M. (2022). Elevator Passenger In-Cabin Behaviour – A Study on Smart-Elevator Platform. In: Ivanovic, M., Kirikova, M., Niedrite, L. (eds) Digital Business and Intelligent Systems. Baltic DB&IS 2022. Communications in Computer and Information Science, vol 1598. Springer, Cham. https://doi.org/10.1007/978-3-031-09850-5_1
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