The Clustered Dial-a-Ride Problem
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
We study a variant of the classical dial-a-ride problem, with an application to public transport planning in rural areas. In the classical dial-a-ride problem, n users each specify a pickup and a delivery location, and the aim is to plan the least cost route to cater all requests. This can be modeled as a traveling salesmen problem in a complete graph with precedence constraints (pick-ups need to happen before deliveries). In this paper, we consider the clustered dial-a-ride problem, where we do not operate on a complete graph but on a graph composed of serially numbered cliques where each clique is connected to the next one via a single edge. This setting is inspired by door-to-door transportation for people from remote villages who want to get to another village or the next city by a bus which operates on demand. We argue that in case the optimal route exhibits certain structural properties, it can be computed significantly faster. To make use of this observation, we devise a classification algorithm which can decide whether the optimal route exhibits these structural properties before computing it. Extensive experiments on artificial and real-world instances reveal that the majority of optimal routes indeed have the desired properties and that our classifier is an efficient tool to recognize the respective instances.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
FEITSCH, Fabian, Sabine STORANDT, 2019. The Clustered Dial-a-Ride Problem. Twenty-Ninth International Conference on Automated Planning and Scheduling : 2019 ICAPS conference. Berkeley, 11. Juli 2019 - 15. Juli 2019. In: BENTON, J., ed. and others. Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling. Palo Alto, CA: AAAI Press, 2019, pp. 510-518. eISSN 2334-0843BibTex
@inproceedings{Feitsch2019Clust-46269, year={2019}, title={The Clustered Dial-a-Ride Problem}, url={https://wvvw.aaai.org/ojs/index.php/ICAPS/article/view/3516}, publisher={AAAI Press}, address={Palo Alto, CA}, booktitle={Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling}, pages={510--518}, editor={Benton, J.}, author={Feitsch, Fabian 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/123456789/46269"> <dc:contributor>Feitsch, Fabian</dc:contributor> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:creator>Storandt, Sabine</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-07-09T14:04:34Z</dc:date> <dcterms:abstract xml:lang="eng">We study a variant of the classical dial-a-ride problem, with an application to public transport planning in rural areas. In the classical dial-a-ride problem, n users each specify a pickup and a delivery location, and the aim is to plan the least cost route to cater all requests. This can be modeled as a traveling salesmen problem in a complete graph with precedence constraints (pick-ups need to happen before deliveries). In this paper, we consider the clustered dial-a-ride problem, where we do not operate on a complete graph but on a graph composed of serially numbered cliques where each clique is connected to the next one via a single edge. This setting is inspired by door-to-door transportation for people from remote villages who want to get to another village or the next city by a bus which operates on demand. We argue that in case the optimal route exhibits certain structural properties, it can be computed significantly faster. To make use of this observation, we devise a classification algorithm which can decide whether the optimal route exhibits these structural properties before computing it. Extensive experiments on artificial and real-world instances reveal that the majority of optimal routes indeed have the desired properties and that our classifier is an efficient tool to recognize the respective instances.</dcterms:abstract> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Feitsch, Fabian</dc:creator> <dcterms:issued>2019</dcterms:issued> <dc:contributor>Storandt, Sabine</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-07-09T14:04:34Z</dcterms:available> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/46269"/> <dcterms:title>The Clustered Dial-a-Ride Problem</dcterms:title> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:language>eng</dc:language> <foaf:homepage rdf:resource="http://localhost:8080/"/> </rdf:Description> </rdf:RDF>