Learning Pedestrian Profiles from Movement Trajectories
نویسنده
چکیده
Pedestrians are highly heterogeneous with regards to their physical capabilities and preferences, which in turn determine their individual infrastructural needs (Saelens et al. 2003, Millonig 2006). Other than in current pedestrian navigation systems, therefore, the possibility to compute personalized walking routes would be desirable, a precondition of which, however, is to derive detailed user profiles (Gartner et al. 2011, Jonietz 2016a).
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