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.

Este artigo apresenta o desenvolvimento de um modelo para a simulação de sistemas de transporte sobre trilhos combinando autômatos celulares para representar os trens e agentes inteligentes para o comportamento do usuário. É apresentado também um framework para o desenvolvimento deste tipo de aplicação tendo em vista a conexão com outros modelos de simulação a fim de possibilitar a simulação de transporte multi-modal.

Resumo: 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 paper assumes 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 São Paulo's metro system for model testing, using data from the origin-destination survey for testing and validating the model here proposed.

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