Visualizing large datasets: A case study with data of the buses of Sao Paulo city

Advanced search

Search - Use quotation marks to get a more specific result

Index

Field of knowledge

Start date

Betweenand

Full text
Author(s):	Alves Dias, Felipe Cordeiro ; Cordeiro, Daniel ; IEEE Total Authors: 3
Document type:	Journal article
Source:	2018 IEEE 37TH INTERNATIONAL SYMPOSIUM ON RELIABLE DISTRIBUTED SYSTEMS WORKSHOPS (SRDSW 2018); v. N/A, p. 4-pg., 2018-01-01.
Abstract
The city of Sao Paulo, the most populous municipality in Brazil, is characterized by an urban segregation responsible for numerous problems related to urban mobility. The current actions to solve problems of urban mobility have not exploited the potential of distributed computing to large data set visualization. This work aims to visualize and explore large AVL (Automatic Vehicles Location) data set of the buses of Sao Paulo city, to find hidden patterns. To achieve this goal, this work uses open source software to aggregate, visualize and explore large data sets. (AU)

FAPESP's process:	14/50937-1 - INCT 2014: on the Internet of the Future
Grantee:	Fabio Kon
Support Opportunities:	Research Projects - Thematic Grants