
Daily, vehicles in transit in a city and during of their trajectories encounter other vehicles. The regularity of these encounters is influenced by several elements, such as: vehicle's speed, destinations, traffic conditions and the period of the day. It is possible to justify these elements by road conditions and the driver's behavior. People have routines and similar behaviors, which strongly impact the daily traffic evolution. An alternative to understand this evolution is to look at the vehicles' mobility under a social perspective. Thus, we present a social analysis of real and realistic traces that describe the mobility of a set of vehicles. Social metrics are computed and the obtained results are compared to random graphs. Initial results showed the presence of social characteristics in the vehicular mobility.
[INFO.INFO-MC] Computer Science [cs]/Mobile Computing
[INFO.INFO-MC] Computer Science [cs]/Mobile Computing
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