Publikation:

History oblivious route recovery on road networks

Lade...
Vorschaubild

Dateien

Chondrogiannis_2-rpqssr5t06jg0.pdf
Chondrogiannis_2-rpqssr5t06jg0.pdfGröße: 5.88 MBDownloads: 54

Datum

2022

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Bookpart
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

RENZ, Matthias, ed., Mohamed SARWAT, ed.. SIGSPATIAL '22 : Proceedings of the 30th International Conference on Advances in Geographic Information Systems. New York: ACM, 2022, 44. ISBN 978-1-4503-9529-8. Available under: doi: 10.1145/3557915.3560979

Zusammenfassung

The availability of GPS sensors in vehicles has enabled the collection of trajectory data that can be utilized to improve the quality of location-based services. However, mostly due to privacy concerns, many data sets are published without containing entire trajectories but only the source location, the target location and the duration of recorded trips. In this paper, we study the problem of route recovery from trip data. In contrast to recent works that assume the availability of entire trajectories for past trips, we investigate methods for route recovery in the absence of such historical data, and we present methods for recovering the single most likely route that a vehicle has travelled. Furthermore, we introduce the region recovery problem that aims at determining a small region that is very likely to contain the traveled route. We also introduce region recovery methods for both single trips and trip groups. In a comprehensive experimental evaluation, we study the efficacy of our solutions for both the route and the region recovery problem. For the region recovery problem in particular, we demonstrate the pros and cons of each method along with the trade-off they offer between the size of the recovered region and the likelihood that the region contains the actual route.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

SIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems, 1. Nov. 2022 - 4. Nov. 2022, Seattle Washington
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690CHONDROGIANNIS, Theodoros, Johann BORNHOLDT, Panagiotis BOUROS, Michael GROSSNIKLAUS, 2022. History oblivious route recovery on road networks. SIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems. Seattle Washington, 1. Nov. 2022 - 4. Nov. 2022. In: RENZ, Matthias, ed., Mohamed SARWAT, ed.. SIGSPATIAL '22 : Proceedings of the 30th International Conference on Advances in Geographic Information Systems. New York: ACM, 2022, 44. ISBN 978-1-4503-9529-8. Available under: doi: 10.1145/3557915.3560979
BibTex
@inproceedings{Chondrogiannis2022Histo-59632,
  year={2022},
  doi={10.1145/3557915.3560979},
  title={History oblivious route recovery on road networks},
  isbn={978-1-4503-9529-8},
  publisher={ACM},
  address={New York},
  booktitle={SIGSPATIAL '22 : Proceedings of the 30th International Conference on Advances in Geographic Information Systems},
  editor={Renz, Matthias and Sarwat, Mohamed},
  author={Chondrogiannis, Theodoros and Bornholdt, Johann and Bouros, Panagiotis and Grossniklaus, Michael},
  note={Article Number: 44}
}
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/123456789/59632">
    <dc:creator>Bouros, Panagiotis</dc:creator>
    <dc:contributor>Bornholdt, Johann</dc:contributor>
    <dc:language>eng</dc:language>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:issued>2022</dcterms:issued>
    <dc:contributor>Grossniklaus, Michael</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:abstract xml:lang="eng">The availability of GPS sensors in vehicles has enabled the collection of trajectory data that can be utilized to improve the quality of location-based services. However, mostly due to privacy concerns, many data sets are published without containing entire trajectories but only the source location, the target location and the duration of recorded trips. In this paper, we study the problem of route recovery from trip data. In contrast to recent works that assume the availability of entire trajectories for past trips, we investigate methods for route recovery in the absence of such historical data, and we present methods for recovering the single most likely route that a vehicle has travelled. Furthermore, we introduce the region recovery problem that aims at determining a small region that is very likely to contain the traveled route. We also introduce region recovery methods for both single trips and trip groups. In a comprehensive experimental evaluation, we study the efficacy of our solutions for both the route and the region recovery problem. For the region recovery problem in particular, we demonstrate the pros and cons of each method along with the trade-off they offer between the size of the recovered region and the likelihood that the region contains the actual route.</dcterms:abstract>
    <dc:contributor>Bouros, Panagiotis</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-04T13:37:59Z</dc:date>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Chondrogiannis, Theodoros</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-04T13:37:59Z</dcterms:available>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59632/1/Chondrogiannis_2-rpqssr5t06jg0.pdf"/>
    <dc:creator>Bornholdt, Johann</dc:creator>
    <dc:creator>Chondrogiannis, Theodoros</dc:creator>
    <dc:creator>Grossniklaus, Michael</dc:creator>
    <dcterms:title>History oblivious route recovery on road networks</dcterms:title>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/59632"/>
    <dc:rights>terms-of-use</dc:rights>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59632/1/Chondrogiannis_2-rpqssr5t06jg0.pdf"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen