Uma Aplicação do Algoritmo QT Clustering para Marcação Colaborativa de Pontos Perigosos em Vias Públicas

摘要

This work proposes a collaborative system for marking dangerous points in thetransport routes and generation of alerts to drivers. It consisted of a proximity warningsystem for a danger point that is fed by the driver via a mobile device equipped withGPS. The system will consolidate data provided by several different drivers and generatea set of points common to be used in the warning system. Although the application isdesigned to protect drivers, the data generated by it can serve as inputs for the responsibleto improve signage and recovery of public roads