About: Probabilistic Modeling of Mobile Agents' Trajectories

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.springerlink.com/content/978-3-642-15419-5#section=759276&page=1&locus=0
Description	We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization algorithm to build a Gaussian mixture model of the spatial density of agents' movement. On the second level, agents' trajectories as expressed as sequences of the components of the mixture model; the sequences are subsequently used to train hidden Markov models. The trained hidden Markov models are then employed to determine agent type, predict further agent movement or detect anomalous agents. The method has been evaluated in the maritime domain using ship trajectory data generated by the AgentC maritime traffic simulation. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization algorithm to build a Gaussian mixture model of the spatial density of agents' movement. On the second level, agents' trajectories as expressed as sequences of the components of the mixture model; the sequences are subsequently used to train hidden Markov models. The trained hidden Markov models are then employed to determine agent type, predict further agent movement or detect anomalous agents. The method has been evaluated in the maritime domain using ship trajectory data generated by the AgentC maritime traffic simulation. (en)
Title	Probabilistic Modeling of Mobile Agents' Trajectories Probabilistic Modeling of Mobile Agents' Trajectories (en)
skos:prefLabel	Probabilistic Modeling of Mobile Agents' Trajectories Probabilistic Modeling of Mobile Agents' Trajectories (en)
skos:notation	RIV/68407700:21230/10:00177699!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Urban, Štěpán Pěchouček, Michal Jakob, Michal
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	282096
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/10:00177699
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	multi-agent learning; maritime transport; security (en)
http://linked.open.../riv/klicoveSlovo	security maritime transport multi-agent learning
http://linked.open...ontrolniKodProRIV	[8FAC18B168AA]
http://linked.open...v/mistoKonaniAkce	Mississippi
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Agents and Data Mining Interaction
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Jakob, Michal Pěchouček, Michal Urban, Štěpán
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000286775400006
http://linked.open.../riv/zahajeniAkce	2010-04-08 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Decision Making and Control for Manufacturing III
issn	0302-9743
number of pages	12 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-15420-1_6
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-15419-5
http://localhost/t...ganizacniJednotka	21230

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