In this paper, we present a framework for estimating trajectories of cellular networks users based on mobile network\noperator data. We use handover and location area update events of both speech and packet data users captured in\nthe core network of the Austrian MNO A1 to estimate the subscribers� mobility behavior. By utilizing publicly available\ndata, i.e., environmental information, road infrastructure data, transmitter power ranges and antenna characteristics,\nour approach allows the estimation of subscriber trajectories for both urban and semi-rural environments with a good\naccordance to the actual trajectories. Additionally, we present a method to estimate a particular subscriber�s\nmovement velocity, on the basis of mentioned data. Furthermore, we propose a methodology to estimate when a\nparticular user started or ended a speech or packet data session during his journey, based on mobility-related network\nevents. With this, our framework enables the creation of reproducible mobility situations for cellular network\nsimulations at system level.
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