The coppe-ufrj/RioBuses dataset (v. 2018-03-19)
Dataset of mobility traces of buses in Rio de Janeiro, Brasil
Contributed by Daniel Dias, Luís Henrique Maciel Kosmalski Costa.
Real-time position data reported by buses, updated every minute, from the city of Rio de Janeiro, Brazil. The file is CSV, containing the date, time(24h format), bus ID, bus line, latitude, longitude and speed of more than 12,000 buses.
details of the coppe-ufrj/RioBuses dataset (v. 2018-03-19)
- last modified
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2018-03-19
- nickname
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RioBuses
- institution
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coppe-ufrj
- reason for most recent change
-
the initial version
- release date
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2018-03-19
- date/time of measurement start
-
2014-10-01
- date/time of measurement end
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2014-10-31
- website
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www.crawdad.org/coppe-ufrj/RioBuses
- network type
-
Vehicular network
- network type
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GPS (Global Positioning System)
- collection environment
-
The city of Rio de Janeiro is one of the metropolises of Brazil, having in 2010 over 6 million residents. The city has about 1,200 km² of area and over 11,000 km of streets, where 2,576,947 vehicles (17,723 buses) circulated in 2014. According to operational data from the buses controllers, obtained at the website of the federation of transport companies in the Rio de Janeiro state, in October 2014 there were 725 active bus lines, with a fleet of 9,028 vehicles which made 1,832,461 travels that month, covering over 72 million kilometers and carrying over 117 million passengers.
- network configuration
-
None information of how the data is gathered is provided by the data maintainer. Nevertheless, we discovered that each bus have a GPS receiver and the data is sent to a central facility in near real time by a 3G cellular network.
- data collection methodology
-
Real-time position data reported by the buses, updated every minute, plus other transport data, like stops location and bus routes, are made available by the city of Rio de Janeiro through the open data portal of the city http://data.rio/en/dataset?groups=transporte-e-mobilidade. We collected these data because it represents the actual shuttle of the public transport vehicles, in addition to contribute to analyze and eventually share an expressive location data collection of a large number of vehicles. The collected data is from October, 2014, in a month period.
- sanitization
-
These are the raw data, only compiled all measurements performed per day.
- disruptions to data collection
-
From 2014-10-24 to 2014-10-28 there were some system failures in the acquisition website. Those days have fewer or none data.
- error
-
As this dataset are raw data collected from the data.rio website, there are error in the database, mostly related to GPS location errors, as measured by the buses. We also found some errors related to the message from the data.rio. These errors changed some numerical information of the message, like buses ID or even buses locations. Those errors are infrequent.
- note
-
The new version (2018-03-19) is actually a correction to the original release that had a bad data file. Ignore that release moving forward.
- url
-
/download/coppe-ufrj/RioBuses/2014-10.zip
size="1.8GB" type="zip" md5="8a452e905a0c8a0ecf5439a53403141b"
This dataset contains the following traceset:
RioBuses
Dataset of mobility traces of buses in Rio de Janeiro, Brasil
2 contributors 
how to cite this dataset
When writing a paper that uses CRAWDAD datasets, we would appreciate it if you could cite both the authors of the dataset and CRAWDAD itself, and identify the exact dataset using the appropriate version number. For this dataset, this citation would look like:
Daniel Dias, Luís Henrique Maciel Kosmalski Costa, CRAWDAD dataset coppe‑ufrj/RioBuses (v. 2018‑03‑19), downloaded from https://crawdad.org/coppe‑ufrj/RioBuses/20180319, https://doi.org/10.15783/C7B64B, Mar 2018.
We also provide bibliographic information in common citation formats below:
@misc{coppe-ufrj-RioBuses-20180319,
author = {Daniel Dias and Luís Henrique Maciel Kosmalski Costa},
title = {{CRAWDAD} dataset coppe-ufrj/RioBuses (v. 2018-03-19)},
howpublished = {Downloaded from \url{https://crawdad.org/coppe-ufrj/RioBuses/20180319}},
doi = {10.15783/C7B64B},
month = mar,
year = 2018
}
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TY - DATA
TI - CRAWDAD dataset coppe-ufrj/RioBuses (v. 2018-03-19)
UR - https://crawdad.org/coppe-ufrj/RioBuses/20180319
PY - 2018/03/19/
AU - Daniel Dias
AU - Luís Henrique Maciel Kosmalski Costa
DO - 10.15783/C7B64B
ER -
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