Abstract
The idea of modern urban systems and smart cities requires monitoring and careful analysis of different signals. Such signals can originate from different sources and one of the most promising is the BTS, i.e. base transceiver station, an element of mobile carrier networks. This paper presents the fundamental problems of elicitation, classification and understanding of such signals so as to develop context-aware and pro-active systems in urban areas. These systems are characterized by the omnipresence of computing which is strongly focused on providing on-line support to users/inhabitants of smart cities. A method of analyzing selected elements of mobile phone datasets through understanding inhabitants’ behavioral fingerprints to obtain smart scenarios for public transport is proposed. Some scenarios are outlined. A multi-agent system is proposed. A formalism based on graphs that allows reasoning about inhabitant behaviors is also proposed.
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Calabrese, F., Colonna, M., Lovisolo, P., Parata, D., Ratti, C.: Real-time urban monitoring using cell phones: A case study in rome. IEEE Transactions on Intelligent Transportation Systems 12(1), 141–151 (2011)
Federation of Communication Services: UK Standard for CDRs. Standard CDR Format (January 2014)
Gonzalez, M.C., Hidalgo, C.A., Barabasi, A.L.: Understanding individual human mobility patterns. Nature 453(7196), 779–782 (2008)
Horak, R.: Telecommunications and Data Communications Handbook. Wiley-Interscience (2007)
Isaacman, S., Becker, R., Cáceres, R., Kobourov, S., Martonosi, M., Rowland, J., Varshavsky, A.: Identifying important places in people’s lives from cellular network data. In: Lyons, K., Hightower, J., Huang, E.M. (eds.) Pervasive 2011. LNCS, vol. 6696, pp. 133–151. Springer, Heidelberg (2011)
Klimek, R.: Preference models and their elicitation and analysis for context-aware applications. In: Gruca, A., Czachórski, T., Kozielski, S. (eds.) Man-Machine Interactions 3. AISC, vol. 242, pp. 357–364. Springer, Heidelberg (2014)
Klimek, R.: A system for deduction-based formal verification of workflow-oriented software models. International Journal of Applied Mathematics and Computer Science 24(4), 941–956 (2014), http://www.amcs.uz.zgora.pl/?action=paper&paper=802
Klimek, R., Faber, Ł., Kisiel-Dorohinicki, M.: Verifying data integration agents with deduction-based models. In: Proceedings of Federated Conference on Computer Science and Information Systems (FedCSIS 2013), Kraków, Poland, September 8-11, pp. 1049–1055. IEEE Xplore Digital Library (2013)
Klimek, R., Kotulski, L.: Proposal of a multiagent-based smart environment for the iot. In: Augusto, J.C., Zhang, T. (eds.) Workshop Proceedings of the 10th International Conference on Intelligent Environments. Ambient Intelligence and Smart Environments, Shanghai, China, June 30-July 1, vol. 18, pp. 37–44. IOS Press (2014)
Klimek, R., Rogus, G.: Modeling context-aware and agent-ready systems for the outdoor smart lighting. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014, Part II. LNCS(LNAI), vol. 8468, pp. 257–268. Springer, Heidelberg (2014)
Kotulski, L.: Gradis – multi-agent environment suppporting distributed graph transformations. In: Bubak, M., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2008, Part III. LNCS, vol. 5103, pp. 644–653. Springer, Heidelberg (2008)
Reades, J., Calabrese, F., Sevtsuk, A., Ratti, C.: Cellular census: Explorations in urban data collection. IEEE Pervasive Computing 6(3), 30–38 (2007)
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Klimek, R., Kotulski, L. (2015). Towards a Better Understanding and Behavior Recognition of Inhabitants in Smart Cities. A Public Transport Case. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_22
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DOI: https://doi.org/10.1007/978-3-319-19369-4_22
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