A large-scale vehicular mobility dataset of the Cologne urban area
Résumé
Vehicles are envisioned to become real communication hubs in the near future, thanks to the growing presence of radio interfaces on the cars as well as to the increasing utilization of smartphones and tablets by their passengers. The single most distinguishing feature of vehicular networks lies in the mobility of users, which is the result of the interaction of complex macroscopic and microscopic dynamics. Notwithstanding the improvements that vehicular mobility modeling has undergone during the past few years, no car traffic trace is available today that captures both macroscopic and microscopic behaviors of drivers over a large urban region, and does so with the level of detail required for networking research. In this paper, we present a realistic synthetic dataset of the car traffic over a typical 24 hours in a 400 sq km region around the city of Cologne in Germany. We outline how our mobility description improves today's existing traces and show the potential impact that a comprehensive representation of vehicular mobility can have one the evaluation of networking technologies.
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