Daniele Firme Miranda / Universidade de Brasilia (UnB)
Fabiana Serra de Arruda / Universidade de Brasilia (UnB)
In transportation modelling, disaggregate theories are the ones that pro-duce more accurate results, although they often demand higher finan-cial resources due to their expensive software and data collection re-quirements. This is a major issue for transport planning in developing countries, and it brings about the question: how can one make dis-aggregate transport modelling feasible in situations where there is lack of finance and technical resources? Thus, the aim of this research is to develop a methodology for data obtainment and treatment, concerning input information on a disaggregated model, using the free and open-source software MATSim. In order to test the methodology developed, a study case was conducted within Brazil's capital city region, Brasilia, and the treated data included its road network and a synthetic popula-tion. The synthetic population was generated based on activity patterns created according Census data, using a Java script.