This paper introduces a new routing methodology for the public transportation system design using Big Data. The new radial routing procedure proposed provides a fast scheme manipulation of a public transport system on a geographic location, which relies directly on the history of daily trips of the citizens associated with their geographic location retrieved from anonymous data provided by mobile operators. The idea behind this procedure is to provide a tool that automatically generates a public transport network by retrieving the points of attraction in a city from GIS maps that holds geographic databases of all important locations in a specific city. When all the points are located, the system starts to analyze the movement of the citizens based on their GSM devices location in this geographic area, and covers all possible required trips to generate a final schedule plan of the Advanced Public Transport System being studied.