RAVENS Mobility Dataset for MEC Orchestration in Vehicular Scenarios — Turin (TuST)

This dataset supports research on proactive service migration in Multi-access Edge Computing (MEC) environments for vehicular scenarios. It was generated using a simulation setup built on OMNeT++ (6.1), Simu5G (1.2.2), SUMO (1.22), and Veins (5.3.1), using a subsection of the Turin SUMO Traffic (TuST) scenario covering approximately 1.2 × 1.2 km with 10 base stations. The dataset comprises 45 simulation runs, each corresponding to a 3,600 s window during the 7–8 AM peak hour, with approximately