Aplica o de uma rede neuro Fuzzy para a previs o do comportamento do tráfego veicular urbano na regi o metropolitana da cidade de S o Paulo

The increase in consumption by Brazilian families, a consequence of the economic stability experienced in the country in recent years, has resulted in an increase in the volume of items that need to be picked up and delivered daily in the city of S o Paulo. This situation has led to profound changes in the market for the pickup and delivery of orders, making the distribution highly complex and directly affecting the efficiency of this service. Diverse techniques and software, some based on artificial intelligence, are used to predict the behavior of vehicular urban traffic in the S o Paulo metropolitan region. In this paper, artificial neural networks were combined with fuzzy logic to form a neuro-fuzzy network in order to predict the behavior of traffic. The results indicate that the application of the neuro-fuzzy network for predicting the behavior of urban vehicular traffic in the city of S o Paulo yields positive results.