Análise de dados de GPS e bilhetagem eletrônica para determinação do carregamento e matriz de origem-destino no sistema de transporte público por ônibus de João Pessoa

Abstract

Knowledge of the demand for transportation is one of the main factors in achieving success in quality and efficiency of public transportation system. Its determination usually goes through mathematical models that analyze several socioeconomic variables, even though in recent years a methodology has become increasingly present. The technological progress of sensors has allowed several Brazilian cities, such as João Pessoa, to implant GPS systems and Smart Cards in their buses and to analyze these millions of daily data generated in favor of their public transportation systems. This work made use of concepts and techniques of Big Data to analyze this GPS data and Smart Cards in order to estimate the loading and the origin-destination matrix of the analyzed bus lines. The results obtained were extremely satisfactory, even using a reduced database. This methodology allows the product of loading and source-destination matrix to be determined without the need for the manual labor of agents or researchers, greatly reducing the costs involved in data collection and increasing the frequency of response to the dynamic format of demand for transportation in cities.