Análise e visualização de dados de rastreamento para caracterização da logística urbana
DOI:
https://doi.org/10.14295/transportes.v25i3.1353Keywords:
Urban logistics, Geospatial big data, GPS data, Data visualization.Abstract
This study aims to apply GPS (Global Positioning System) data analysis and visualization techniques in order to understand the urban logistics' behavior in some cities of Brazil, through logistical indicators such as distribution of delivery points, volume of distribution of trucks over time (day and time of day), etc. For that, two distinct databases of vehicle tracking were used: the first provided by two large retailers that already had such data for risk management and monitoring of drivers' behavior; and the second one belongs to a map services provider whose data is derived from several companies, mostly vehicle tracking companies. To process this amount of data, it was necessary to use geospatial big data analysis tools. In both databases, it was possible to analyze, for the period 06-10 of October 2014 (Monday to Friday), the volume distribution pattern per day, and the results point to a smaller volume of vehicles circulating on Monday in comparison to other working days (Tuesday to Friday).Downloads
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