KOPS - Das Institutionelle Repositorium der Universität Konstanz

ParDiSP : A Partition-Based Framework for Distance and Shortest Path Queries on Road Networks

ParDiSP : A Partition-Based Framework for Distance and Shortest Path Queries on Road Networks

Zitieren

Dateien zu dieser Ressource

Dateien Größe Format Anzeige

Zu diesem Dokument gibt es keine Dateien.

CHONDROGIANNIS, Theodoros, Johann GAMPER, 2016. ParDiSP : A Partition-Based Framework for Distance and Shortest Path Queries on Road Networks. 17th IEEE International Conference on Mobile Data Management (MDM). Porto, Portugal, 13. Jun 2016 - 16. Jun 2016. In: CHOW, Chi-Yin, ed. and others. Proceedings of the 17th IEEE International Conference on Mobile Data Management (MDM) : Volume 1. Piscataway, NJ:IEEE, pp. 242-251. eISSN 2375-0324. ISBN 978-1-5090-0883-4. Available under: doi: 10.1109/MDM.2016.45

@inproceedings{Chondrogiannis2016-06ParDi-41135, title={ParDiSP : A Partition-Based Framework for Distance and Shortest Path Queries on Road Networks}, year={2016}, doi={10.1109/MDM.2016.45}, isbn={978-1-5090-0883-4}, address={Piscataway, NJ}, publisher={IEEE}, booktitle={Proceedings of the 17th IEEE International Conference on Mobile Data Management (MDM) : Volume 1}, pages={242--251}, editor={Chow, Chi-Yin}, author={Chondrogiannis, Theodoros and Gamper, Johann} }

<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/rdf/resource/123456789/41135"> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/41135"/> <dcterms:title>ParDiSP : A Partition-Based Framework for Distance and Shortest Path Queries on Road Networks</dcterms:title> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-01-24T14:43:30Z</dc:date> <dcterms:issued>2016-06</dcterms:issued> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:contributor>Chondrogiannis, Theodoros</dc:contributor> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:creator>Gamper, Johann</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-01-24T14:43:30Z</dcterms:available> <dc:contributor>Gamper, Johann</dc:contributor> <dc:language>eng</dc:language> <dc:creator>Chondrogiannis, Theodoros</dc:creator> <dcterms:abstract xml:lang="eng">To process shortest path and distance queries on road networks, various preprocessing techniques have been proposed. State-of-the-art methods for distance queries offer superior query time but do not provide any efficient retrieval mechanism for the shortest path. In contrast, state-of-the-art methods for shortest path queries show relatively poor performance for distance queries. In this paper, we propose a Partition-based framework for Distance and Shortest Path queries (ParDiSP), which efficiently supports both types of queries. After partitioning a road network into components, ParDiSP precomputes the distances between any node in a component and the border nodes of the same component, the pair wise distances between all border nodes, and the union of the shortest paths between all border nodes. For query processing, ParDiSP runs the ALT algorithm for both distance and shortest path queries if source and target are located in the same component. Otherwise, ParDiSP answers distance queries by combining distances from exactly three precomputed distance tables. For shortest path queries, the information in the distance tables allows to identify two border nodes that are traversed by the shortest path, thereby decomposing the path into three segments which can be computed in parallel. A detailed experimental evaluation shows that ParDiSP outperforms two state-of-the-art solutions for shortest path queries and is comparable to the state-of-the-art for distance queries. For mixed query loads containing both distance and shortest path queries, ParDiSP outperforms a combination of the best methods for each query type, while its space requirements are significantly smaller.</dcterms:abstract> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> </rdf:Description> </rdf:RDF>

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto