Uma aplicação para o enriquecimento semântico de trajetórias usando algoritmos de detecção de paradas

Abstract

This paper describes a process and an application for the semantic enrichment of trajectories, through trajectories of taxi drivers. The process consists in identifying the points where the car is stopped and in steps to remove data inconsistency. The data used here, belong to T-Drive in the city of Beijing in China. In this paper, for the removal of data with inconsistencies, map matching is used. Here, the IB-SMoT and CB-SMoT algorithms are analyzed and used to perform the semantic enrichment of the trajectories. For a good performance and to obtain good results, an analysis of the parameters of semantic enrichment algorithms is performed. It is presenting an API for collecting points of interest from the chosen region. The application developed here, uses these two algorithms to peform semantic enrichment in a way that a lay user can use.