Guidotti R., Monreale A., Rinzivillo S., Pedreschi D., Giannotti F.
Individual mobility profile Points of Interest Collective mobility behavior
Human mobility analysis is emerging as a more and more fundamental task to deeply understand human behavior. In the last decade these kind of studies have become feasible thanks to the massive increase in availability of mobility data. A crucial point, for many mobility applications and analysis, is to extract interesting locations for people. In this paper, we propose a novel methodology to retrieve efficiently significant places of interest from movement data. Using car drivers' systematic movements we mine everyday interesting locations, that is, places around which people life gravitates. The outcomes show the empirical evidence that these places capture nearly the whole mobility even though generated only from systematic movements abstractions.
Source: Software Engineering and Formal Methods, edited by Carlos Canal, Akram Idani, pp. 294–308, 2015
@inbook{oai:it.cnr:prodotti:345656, title = {Retrieving points of interest from human systematic movements}, author = {Guidotti R. and Monreale A. and Rinzivillo S. and Pedreschi D. and Giannotti F.}, doi = {10.1007/978-3-319-15201-1_19}, booktitle = {Software Engineering and Formal Methods, edited by Carlos Canal, Akram Idani, pp. 294–308, 2015}, year = {2015} }
PETRA
Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems