Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24092
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dc.contributor.authorVUURSTAEK, Jan-
dc.contributor.authorCICH, Glenn-
dc.contributor.authorKNAPEN, Luk-
dc.contributor.authorYASAR, Ansar-
dc.contributor.authorBELLEMANS, Tom-
dc.contributor.authorJANSSENS, Davy-
dc.date.accessioned2017-08-07T08:06:01Z-
dc.date.available2017-08-07T08:06:01Z-
dc.date.issued2017-
dc.identifier.citationProcedia Computer Science,p. 50-58-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/1942/24092-
dc.description.abstractDue to budget constraints public transportation (PT) can no longer be deployed in regions where it attracts insufficient customers. Novel techniques like demand-responsive collective transportation (DRT) are evaluated to cut costs. This requires detailed simulations that are able to predict travel demand and include trip execution. Simulating facilities acting as feeder services to time-table based PT services requires detailed and accurate information about the PT infrastructure on a network. However, there are no public data sources that combine network and PT infrastructure data with the preferred level of detail. A newly developed bus stop mapping technique is presented. It uses the OpenStreetMap (OSM) and General Transit Feed Specification (GTFS) open data sources, which are maintained independently. Merging the data into a single database requires alignment. Developing bus stop mapping algorithms is challenging due to (i) inaccurate location data, (ii) inconsistent data sources and (iii) the vastly interconnected PT network and services. Due to the inaccuracy in the GTFS stop locations and in the OSM network, pure geometric considerations might lead to multiple candidate solutions to map a stop to the network. The new technique handles all GTFS trips at once and operates under the assumption that PT operators minimize the total distance driven to complete all trips.-
dc.description.sponsorshipThe research reported was partially funded by the IWT 135026 Smart-PT: Smart Adaptive Public Transport (ERANET Transport III Flagship Call 2013 “Future Traveling”)-
dc.language.isoen-
dc.publisherElsevier B.V-
dc.relation.ispartofseriesProcedia Computer Science-
dc.rights(c) 2017 The Authors. Published by Elsevier B.V-
dc.subject.otherOpenStreetMap (OSM); General Transit Feed Specification (GTFS); micro-simulation; public Transport; mapping algorithm-
dc.titleGTFS Bus Stops Mapping to the OSM Network-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate16-19/05/2017-
local.bibliographicCitation.conferencenameANT 2017: The 8th International Conference on Ambient Systems, Networks and Technologies-
local.bibliographicCitation.conferenceplaceMadeira, Portugal-
dc.identifier.epage58-
dc.identifier.spage50-
dc.identifier.volume109-
local.bibliographicCitation.jcatC1-
dc.description.notesVuurstaek, J (reprint author), Hasselt Univ, Transportat Res Inst IMOB, Agoralaan, B-3590 Diepenbeek, Belgium. jan.vuurstaek@uhasselt.be-
local.publisher.placeAmsterdam, The Netherlands-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr109-
local.classdsPublValOverrule/author_version_not_expected-
dc.identifier.doi10.1016/j.procs.2017.05.294-
dc.identifier.isi000414533000006-
local.bibliographicCitation.btitleProcedia Computer Science-
item.contributorVUURSTAEK, Jan-
item.contributorCICH, Glenn-
item.contributorKNAPEN, Luk-
item.contributorYASAR, Ansar-
item.contributorBELLEMANS, Tom-
item.contributorJANSSENS, Davy-
item.fullcitationVUURSTAEK, Jan; CICH, Glenn; KNAPEN, Luk; YASAR, Ansar; BELLEMANS, Tom & JANSSENS, Davy (2017) GTFS Bus Stops Mapping to the OSM Network. In: Procedia Computer Science,p. 50-58.-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.validationecoom 2018-
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