GTFS-VIZ: Tool for preprocessing and visualizing GTFS data

© 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 t...

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Main Authors: Narumon Kunama, Mudtana Worapan, Santi Phithakkitnukoon, Merkebe Demissie
Format: Conference Proceeding
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030860928&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43644
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-436442018-04-25T07:20:25Z GTFS-VIZ: Tool for preprocessing and visualizing GTFS data Narumon Kunama Mudtana Worapan Santi Phithakkitnukoon Merkebe Demissie Computer Science Agricultural and Biological Sciences © 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. 2018-01-24T03:51:14Z 2018-01-24T03:51:14Z 2017-09-11 Conference Proceeding 2-s2.0-85030860928 10.1145/3123024.3124415 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030860928&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43644
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Agricultural and Biological Sciences
spellingShingle Computer Science
Agricultural and Biological Sciences
Narumon Kunama
Mudtana Worapan
Santi Phithakkitnukoon
Merkebe Demissie
GTFS-VIZ: Tool for preprocessing and visualizing GTFS data
description © 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.
format Conference Proceeding
author Narumon Kunama
Mudtana Worapan
Santi Phithakkitnukoon
Merkebe Demissie
author_facet Narumon Kunama
Mudtana Worapan
Santi Phithakkitnukoon
Merkebe Demissie
author_sort Narumon Kunama
title GTFS-VIZ: Tool for preprocessing and visualizing GTFS data
title_short GTFS-VIZ: Tool for preprocessing and visualizing GTFS data
title_full GTFS-VIZ: Tool for preprocessing and visualizing GTFS data
title_fullStr GTFS-VIZ: Tool for preprocessing and visualizing GTFS data
title_full_unstemmed GTFS-VIZ: Tool for preprocessing and visualizing GTFS data
title_sort gtfs-viz: tool for preprocessing and visualizing gtfs data
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030860928&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43644
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