Abstract
Travel demand forecasting models are a key analysis tool used in transport network 
 planning and infrastructure development. Relevant research within this topic is aimed at reducing the 
 time and minimizing costs associated with the development of a forecasting model for travel demand, 
 which is used for forecasting and planning. The study evaluates the possibility of recovering an exact 
 correspondence matrix based on an overloaded network, which considers the conditions relative to 
 the base / initial matrix, traffic flow and their impact on the quality of the generated matrix
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