User Movement Prediction Based On Traffic Topology For Value Added Services

Value added services are based on user context awareness. Important context aspect is location, which could be extended to future locations if services had the ability to predict movement. We propose a model for user movement prediction based on traffic topology. Benefits of the model are presented on example service, while the performance is evaluated on real user movement data.