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Understanding the patterns of car travel

Articolo
Data di Pubblicazione:
2013
Abstract:
Are the patterns of car travel different from those of general human mobility? Based on a unique dataset consisting of the GPS trajectories of 10 million travels accomplished by 150,000 cars in Italy, we investigate how known mobility models apply to car travels, and illustrate novel analytical findings. We also assess to what extent the sample in our dataset is representative of the overall car mobility, and discover how to build an extremely accurate model that, given our GPS data, estimates the real traffic values as measured by road sensors.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Human Mobility; Data Mining; Network Science; H.2.8 Database Applications. Data Mining
Elenco autori:
Pappalardo, Luca; Giannotti, Fosca; Rinzivillo, Salvatore
Autori di Ateneo:
PAPPALARDO LUCA
RINZIVILLO SALVATORE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/254766
Pubblicato in:
THE EUROPEAN PHYSICAL JOURNAL. SPECIAL TOPICS
Journal
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URL

http://link.springer.com/article/10.1140%2Fepjst%2Fe2013-01715-5
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