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Traffic Flow Prediction using Public Transport and Weather Data: A Medium Sized City Case Study
Reliable traffic flow forecasting is seen as something extremely useful in various management areas of a city. Its impact can extend to the average road users, the public transportation systems, corporations, government organizations and local administration companies. The value of this data can be harnessed to support decisions that can improve traffic flow, parking availability and better manage resources leading to monetary savings, reduction in environment pollution and the improvement of quality life regarding all the city users. The purpose of this research was to develop a decision support system that can predict traffic on the city of Braga in Portugal, using data collected by a fleet of buses from the local public transport company Transportes Urbanos de Braga and relating it to weather data and events in order to have a more accurate vision of the future traffic, leading to better decisions.