Traffic congestion, carbon dioxide emissions and road accidents are the main challenges of today’s European road traffic system. For the full perspective of the issue we need take into consideration projections for 2020 according to which the fright traffic is to increase by 50% and the passenger traffic is to increase by 35%. One of the answers is the application of solutions based on information and communications systems (ICT). The development of the location intelligence mechanisms enables the application of the public mobile communications systems in order to collect, process and distribute real-time information about the mobility of users. This will create prerequisites for the implementation of an Traffic Information System which can provide users with timely and relevant road traffic information. End users, i.e. drivers thus become an active part of the traffic system and can make decisions to make the traffic flow as optimal as possible. This leads to time and fuel savings, reduced carbon dioxide emissions and increased traffic safety. The thesis defines a generic architecture of the traffic information system with references to its purpose, functionalities and traffic information distribution. Furthermore, considering the possibility of the public mobile network embedded location intelligence, the thesis defines relevant data on mobility, the ways they are extracted and the ways to determine the average speed of data on selected segments of a network. In its final part the paper establishes the relevance of the set theoretical hypothesis through practical validation and simulation.