Integration of tools for decision making in vehicular congestion

Abstract

The purpose of this study is to present an analysis of the use and integration of technological tools that help decision making in situations of vehicular congestion. The city of Quito-Ecuador is considered as a case study for the done work. The research is presented according to the development of an application, using Big Data tools (Apache Flume, Apache Hadoop, Apache Pig), favoring the processing of a lot of information that is required to collect, store and process. One of the innovative aspects of the application is the use of Twitter social network as source of origin. For this, it used its application programming interface (API), which allows to take data from this social network and identify probable points of congestion. This study presents results of tests carried out with the application, in a period of 9 months.