Browsing by Author "Radnic, Pablo"

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    An analysis of public transport in the city of Buenos Aires with MobilityDB
    (2020-01-25) Godfrid, Juan; Radnic, Pablo; Vaisman, Alejandro Ariel; Zimányi, Esteban
    "The General Transit Feed Specication (GTFS) is a data format used to express public transportation schedules and associated geographic information created in 2006 by Google. It is now widely used all around the world in both of its versions, GTFS Real-Time and GTFS Static. So far, tools to analyze these data are not widely available in the open source community. Companies that need to perform in-depth analysis must create proprietary solutions which the public has no access to. MobilityDB is a free and open source PostgreSQL and PostGIS extension that adds spatial and temporal datatypes along with convenient functions, to facilitate the analysis of mobility data. However, loading GTFS data into MobilityDB must still be done in an ad-hoc fashion. Furthermore, obtaining GTFS real-time data is an even more involved problem. This work describes how MobilityDB is used to analyze public transport mobility in the city of Buenos Aires. To this end, static and real-time GTFS data for the Buenos Aires public transportation system were acquired, imported into MobilityDB, and analyzed. Visualizations were also produced to enhance the analysis."
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    Analyzing public transport in the city of Buenos Aires with MobilityDB
    (2022) Godfrid, Juan; Radnic, Pablo; Vaisman, Alejandro Ariel; Zimányi, Esteban
    "The General Transit Feed Specification (GTFS) is a data format widely used to share data about public transportation schedules and associated geographic information. GTFS comes in two versions: GTFS Static describing the planned itineraries and GTFS Realtime describing the actual ones. MobilityDB is a novel and free open-source moving object database, developed as a PostgreSQL and PostGIS extension, that adds spatial and temporal data types along with a large number of functions, that facilitate the analysis of mobility data. Loading GTFS data into MobilityDB is a quite complex task that, nevertheless, must be done in an ad-hoc fashion. This work describes how MobilityDB is used to analyze public transport mobility in the city of Buenos Aires, using both, static and real-time GTFS data for the Buenos Aires public transportation system. Visualizations are also produced to enhance the analy-sis. To the authors’ knowledge, this is the first attempt to analyze GTFS data with a moving object database."