An Analysis of Human Mobility Using Real Traces

We present a new analysis for human mobility through real traces captured in a recreational environment. The goal of this analysis is to investigate the motion components, in both a qualitative and quantitative way, and thus, to get a better knowledge of pedestrian mobility behavior. Moreover, some results based upon human mobility captured in a real scenario with GPS equipment are presented. In these captured data, we verified that the speed and acceleration components follow a Normal distribution, while the direction angle variation component and the pause time measure follow a Lognormal distribution. Finally, we show that velocity and direction angle change components of captured scenario have a temporal dependence unlike the random mobility models.