Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57059
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNarumon Kunamaen_US
dc.contributor.authorMudtana Worapanen_US
dc.contributor.authorSanti Phithakkitnukoonen_US
dc.contributor.authorMerkebe Demissieen_US
dc.date.accessioned2018-09-05T03:34:28Z-
dc.date.available2018-09-05T03:34:28Z-
dc.date.issued2017-09-11en_US
dc.identifier.other2-s2.0-85030860928en_US
dc.identifier.other10.1145/3123024.3124415en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030860928&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57059-
dc.description.abstract© 2017 Association for Computing Machinery. This paper presents a tool called GTFS-Viz for preprocessing and visualizing General Transit Feed Specification (GTFS) data. GTFS data is a common format for the public transportation schedules with associated geographic information. The tool consists of two main parts: preprocessor and visualizer. The preprocessor retrieves and transfers the GTFS data into a new data format for the visualizer. The visualizer displays an animation of public transport movement according to its schedule specified in the GTFS data on a map. It also displays a graph of the number of public transport vehicles per hour, and allows the user to choose a specific transport route, trip, and stations to visualize. This is the first attempt to build a tool that preprocesses and visualizes GTFS data that is publically available in a format that is not so easy to process with existing standard data visualization tools.en_US
dc.subjectComputer Scienceen_US
dc.titleGTFS-VIZ: Tool for preprocessing and visualizing GTFS dataen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleUbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computersen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsUniversity of Calgaryen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.