Understanding Human Movement Semantics: A Point of Interest Based Approach (short paper)

Ionut Trestian (1) , Kévin Huguenin (2) , Ling Su (1) , Aleksandar Kuzmanovic (1)

1 EECS - Department of Electrical Engineering and Computer Science
2 LCA - Laboratory for Computer Communications and Applications

The recent availability of human mobility traces has driven a new wave of research on human movement with straightforward applications in wireless/cellular network. In this paper we revisit the human mobility problem with new assumptions. We believe that human movement is not independent of the surrounding locations, i.e. the points of interest that they visit; most of the time people travel with specific goals in mind, visit specific points of interest, and frequently revisit favorite places. Using GPS mobility traces of a large number of users located across two distinct geographical locations we study the correlation between people's trajectories and the differently spread points of interest nearby.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]; Informatique mobile; Réseaux et télécommunications [cs.NI]; Informatique ubiquitaire

Ionut Trestian, Kévin Huguenin, Ling Su, Aleksandar Kuzmanovic. Understanding Human Movement Semantics: A Point of Interest Based Approach (short paper). 21st International Conference on the World Wide Web (WWW) - Poster session, Apr 2012, Lyon, France. pp.1-2, ⟨10.1145/2187980.2188156⟩. ⟨hal-00674130⟩