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DC Field | Value | Language |
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dc.contributor.author | Narumon Kunama | en_US |
dc.contributor.author | Mudtana Worapan | en_US |
dc.contributor.author | Santi Phithakkitnukoon | en_US |
dc.contributor.author | Merkebe Demissie | en_US |
dc.date.accessioned | 2018-09-05T03:34:28Z | - |
dc.date.available | 2018-09-05T03:34:28Z | - |
dc.date.issued | 2017-09-11 | en_US |
dc.identifier.other | 2-s2.0-85030860928 | en_US |
dc.identifier.other | 10.1145/3123024.3124415 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030860928&origin=inward | en_US |
dc.identifier.uri | http://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.subject | Computer Science | en_US |
dc.title | GTFS-VIZ: Tool for preprocessing and visualizing GTFS data | en_US |
dc.type | Conference Proceeding | en_US |
article.title.sourcetitle | UbiComp/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 Computers | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
article.stream.affiliations | University of Calgary | en_US |
Appears in Collections: | CMUL: Journal Articles |
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