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High cost and complexity of mobile ad hoc networks (MANETs) testbeds let simulation as the best solution to experiment MANETs protocols and applications. Thus improving current simulation tools become crucial to provide valuable results. Mobility and propagation models are key element to realistically simulate user's behaviour and wave propagations and therefore assure the validity of the simulations results. Unfortunately, accurate mobility models are complex and consider a wide range of parameters. Indeed to reflect reality every detail which may modify the mobility of users has to be included in the models. Consequently most of the realistic simulations models are not scalable and involve excessive computation time. Furthermore, these models are very generic and fail to capture the impact of event in real environments. In this paper we present an accurate subway mobility model which requires only few parameters. Moreover the simulated environment represents an application prolific context which can easily be set up. Finally we provide average simulation execution time for large networks and a comparison with the random waypoint model.