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With ever increasing traffic demand, cities are facing more serious problems from traffic congestion. It is extremely important to have an accurate estimation of travel demand for strategic planning and control. Lack of such knowledge before implementing major transport infrastructure projects could result in huge economic losses. Thus, this research develops new methods using big traffic data and are thoroughly tested on the Brisbane network. These methods can be readily integrated into the existing state-of-the-art and practice for a better estimation of travel demand.