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Data structures modelling for citizen tracking based applications in smart cities

dc.contributor.authorSirvent Llamas, A.
dc.contributor.authorMora Mora, H.
dc.contributor.authorGilart Iglesias, Virgilio
dc.contributor.authorAndújar Montoya, María Dolores
dc.contributor.authorHoyo, R. P. D
dc.contributor.authorFernández, A. de Ramón
dc.date.accessioned2026-07-01T08:02:36Z
dc.date.available2026-07-01T08:02:36Z
dc.date.issued2017
dc.identifier.citationSirvent Llamas, A., Mora Mora, H., Gilart Iglesias, V., Andújar Montoya, M. D., Hoyo, R. P. D., y Fernández, A. R. (2017). Data structures modelling for citizen tracking based applications in smart cities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 11th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2017, 10586 LNCS, 201-206. https://doi.org/10.1007/978-3-319-67585-5_21es
dc.identifier.isbn3029743
dc.identifier.urihttp://hdl.handle.net/20.500.12251/6125
dc.description.abstractInternet of Things is a promising paradigm for designing context-aware systems. The information provided can be used for understanding the environment and providing intelligent services to the citizen. There are several studies on the information acquisition of Smart Cities. This work is focused on citizens’ traceability technologies and the data structures involved in representing and querying this information. A location and route data structure is proposed for handling data from different sources and devices, and meet the requirements of citizens’ flow management in Smart Cities. © 2017, Springer International Publishing AG.es
dc.language.isoenges
dc.publisherSpringer Verlages
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleData structures modelling for citizen tracking based applications in smart citieses
dc.typeconferenceObject
dc.identifier.conferenceObjectLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 11th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2017es
dc.identifier.doi10.1007/978-3-319-67585-5_21
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85031421164&doi=10.1007%2f978-3-319-67585-5_21&partnerID=40&md5=88aac436a3267aab5f398ee6b2c6e6fc
dc.page.initial201es
dc.page.final206es
dc.rights.accessRightsopenAccesses
dc.subject.keywordInteligencia Artificiales
dc.subject.keywordInternet of Things (IoT)es
dc.subject.unesco1203.04 Inteligencia Artificiales
dc.subject.unesco1203.17 Informáticaes
dc.subject.unesco3305.37 Planificación Urbanaes
dc.subject.unescoMachine Learninges
dc.subject.unescoRedes neuronales artificialeses
dc.subject.unescoEstructuras de hormigónes
dc.subject.unescoResistencia de materialeses
dc.volume.number10586 LNCS


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional