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Extracting Bus Lines Services Information from GPS Registries

Published: 17 October 2017 Publication History

Abstract

The efficiency of urban mobility is a huge concern of urban population around the world. Because of this reason, city planners spend much of their time monitoring transportations systems and designing solutions in order to improve the system's quality. Among these solutions, the most successful ones are computational tools called Intelligent Transportation Systems (ITS).
The success of ITS has encouraged public agencies, owners of the public transportation system information, to share their datasets with the population aiming to stimulate the development of new research and solutions that could help to improve urban mobility.
Taking advantage of this trend, this work uses the Rio de Janeiro buses GPS logs dataset to extract some of the main operational information about the city bus system. More specifically, garage locations, start and end points of a route, and the route (the complete sequence of streets) of a bus line are inferred.This information is extremely important for both city planners and population since administrators can benefit from it to better plan the transportation system and the population can become more informed about the system, what improves its reliability and overall usage satisfaction.

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Cited By

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  • (2023)Efficient Map-Matching Parallelization over Bus Trajectories Using SparkProceedings of the 29th Brazilian Symposium on Multimedia and the Web10.1145/3617023.3617056(238-245)Online publication date: 23-Oct-2023
  • (2018)How Am I Driving?Proceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243105(395-402)Online publication date: 16-Oct-2018

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Published In

cover image ACM Other conferences
WebMedia '17: Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web
October 2017
522 pages
ISBN:9781450350969
DOI:10.1145/3126858
© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

Sponsors

  • SBC: Brazilian Computer Society
  • CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
  • CGIBR: Comite Gestor da Internet no Brazil
  • CAPES: Brazilian Higher Education Funding Council

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 October 2017

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Author Tags

  1. bus
  2. map-matching
  3. route
  4. urban analytics

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  • Research-article

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Webmedia '17
Sponsor:
  • SBC
  • CNPq
  • CGIBR
  • CAPES
Webmedia '17: Brazilian Symposium on Multimedia and the Web
October 17 - 20, 2017
RS, Gramado, Brazil

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WebMedia '17 Paper Acceptance Rate 38 of 138 submissions, 28%;
Overall Acceptance Rate 270 of 873 submissions, 31%

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View all
  • (2023)Efficient Map-Matching Parallelization over Bus Trajectories Using SparkProceedings of the 29th Brazilian Symposium on Multimedia and the Web10.1145/3617023.3617056(238-245)Online publication date: 23-Oct-2023
  • (2018)How Am I Driving?Proceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243105(395-402)Online publication date: 16-Oct-2018

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