caa a22 4500 606189912 CHVBK 20210128100852.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s10776-014-0259-3 doi (NATIONALLICENCE)springer-10.1007/s10776-014-0259-3 On-Line Location Prediction Exploiting Spatial and Velocity Context [Elektronische Daten] [Theodoros Anagnostopoulos, Christos Anagnostopoulos, Stathes Hadjiefthymiades, Arkady Zaslavsky] We treat the problem of movement prediction as a classification task. We assume the existence of a (gradually populated and/or trained) knowledge base and try to compare the movement pattern of a certain object with stored information in order to predict its future location. We introduce a novel distance metric function based on weighted spatial and velocity context used for location prediction. The proposed distance metric is compared with other distance metrics in the literature on real traffic data and reveals its superiority. Springer Science+Business Media New York, 2014 Movement prediction nationallicence Sequential trajectory classification nationallicence Weighted spatial and velocity context nationallicence Anagnostopoulos Theodoros Department of Infocommunication Technologies, ITMO University, Kronverkskiy Pr. 49, 197101, St. Petersburg, Russia aut Anagnostopoulos Christos School of Computing Science, University of Glasgow, G12 8QQ, Glasgow, UK aut Hadjiefthymiades Stathes Department of Informatics and Telecommunications, University of Athens, 15784, Athens, Greece aut Zaslavsky Arkady Department of Infocommunication Technologies, ITMO University, Kronverkskiy Pr. 49, 197101, St. Petersburg, Russia aut International Journal of Wireless Information Networks Springer US; http://www.springer-ny.com 22/1(2015-03-01), 29-40 1068-9605 22:1<29 2015 22 10776 https://doi.org/10.1007/s10776-014-0259-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10776-014-0259-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Anagnostopoulos Theodoros Department of Infocommunication Technologies, ITMO University, Kronverkskiy Pr. 49, 197101, St. Petersburg, Russia aut NATIONALLICENCE 700 1- Anagnostopoulos Christos School of Computing Science, University of Glasgow, G12 8QQ, Glasgow, UK aut NATIONALLICENCE 700 1- Hadjiefthymiades Stathes Department of Informatics and Telecommunications, University of Athens, 15784, Athens, Greece aut NATIONALLICENCE 700 1- Zaslavsky Arkady Department of Infocommunication Technologies, ITMO University, Kronverkskiy Pr. 49, 197101, St. Petersburg, Russia aut NATIONALLICENCE 773 0- International Journal of Wireless Information Networks Springer US; http://www.springer-ny.com 22/1(2015-03-01), 29-40 1068-9605 22:1<29 2015 22 10776