Publikation: PATHFINDER : Storage and Indexing of Massive Trajectory Sets
Lade...
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2019
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
AREF, Walid G., ed. and others. SSTD '19 : Proceedings of the 16th International Symposium on Spatial and Temporal Databases. New York: ACM Press, 2019, pp. 90-99. ISBN 978-1-4503-6280-1. Available under: doi: 10.1145/3340964.3340978
Zusammenfassung
We consider the problem of indexing massive trajectory data in an underlying road network. Our Pathfinder index structure is based on a state-of-the-art speed-up technique for shortest path planning and allows to both compress and access huge amounts of trajectory data. In a continent-sized network with more than 400 million nodes and almost a billion edges, Pathfinder allows to retrieve all trajectories within a given space-time cube in a few microseconds per reported trajectory. The applicability of Pathfinder is shown using both synthetic and real-world trajectory sets.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Konferenz
The 16th International Symposium on Spatial and Temporal Databases (SSTD '19), 19. Aug. 2019 - 21. Aug. 2019, Vienna, Austria
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
FUNKE, Stefan, Tobias RUPP, André NUSSER, Sabine STORANDT, 2019. PATHFINDER : Storage and Indexing of Massive Trajectory Sets. The 16th International Symposium on Spatial and Temporal Databases (SSTD '19). Vienna, Austria, 19. Aug. 2019 - 21. Aug. 2019. In: AREF, Walid G., ed. and others. SSTD '19 : Proceedings of the 16th International Symposium on Spatial and Temporal Databases. New York: ACM Press, 2019, pp. 90-99. ISBN 978-1-4503-6280-1. Available under: doi: 10.1145/3340964.3340978BibTex
@inproceedings{Funke2019PATHF-48216,
year={2019},
doi={10.1145/3340964.3340978},
title={PATHFINDER : Storage and Indexing of Massive Trajectory Sets},
isbn={978-1-4503-6280-1},
publisher={ACM Press},
address={New York},
booktitle={SSTD '19 : Proceedings of the 16th International Symposium on Spatial and Temporal Databases},
pages={90--99},
editor={Aref, Walid G.},
author={Funke, Stefan and Rupp, Tobias and Nusser, André and Storandt, Sabine}
}RDF
<rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/48216">
<bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/48216"/>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-01-14T09:56:17Z</dcterms:available>
<dcterms:abstract xml:lang="eng">We consider the problem of indexing massive trajectory data in an underlying road network. Our Pathfinder index structure is based on a state-of-the-art speed-up technique for shortest path planning and allows to both compress and access huge amounts of trajectory data. In a continent-sized network with more than 400 million nodes and almost a billion edges, Pathfinder allows to retrieve all trajectories within a given space-time cube in a few microseconds per reported trajectory. The applicability of Pathfinder is shown using both synthetic and real-world trajectory sets.</dcterms:abstract>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:creator>Storandt, Sabine</dc:creator>
<dc:creator>Rupp, Tobias</dc:creator>
<dc:contributor>Storandt, Sabine</dc:contributor>
<dc:contributor>Nusser, André</dc:contributor>
<dcterms:issued>2019</dcterms:issued>
<dc:contributor>Funke, Stefan</dc:contributor>
<dc:language>eng</dc:language>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dcterms:title>PATHFINDER : Storage and Indexing of Massive Trajectory Sets</dcterms:title>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dc:contributor>Rupp, Tobias</dc:contributor>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-01-14T09:56:17Z</dc:date>
<dc:creator>Funke, Stefan</dc:creator>
<dc:creator>Nusser, André</dc:creator>
</rdf:Description>
</rdf:RDF>Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
