Um modelo computacional para a simulação de sistemas de transporte urbano

Abstract

Nowadays, the difficulties faced in urban displacement are considered a major problem, especially in big cities. Proper urban transport system planning is essential to minimize travel time and costs, improving quality of life and improving the urban environment. This master thesis starts from the premise that simulation systems can be used to study different alternatives to improve the transport system, so that decision making can be better justified and can optimize the urban displacement. Therefore, this work presents the development of a computational model for urban transportation system simulation. The model proposed targets mesoscopic and microscopic models, including user behaviors of route planning. A framework for development of simulation applications is described, with an implementation using as scenario the Metropolitano of São Paulo (Metrô) for model testing, considering data from Origem-Destino survey for testing and validation of the model here proposed.