Document - Understanding the patterns of car travel

2013

Journal article Closed Access

Understanding the patterns of car travel

Pappalardo L., Rinzivillo S., Qu Z., Pedreschi D., Giannotti F.

Human Mobility Network Science Data Mining General Materials Science Physical and Theoretical Chemistry H.2.8 Database Applications. Data Mining General Physics and Astronomy

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.

Source: The European physical journal. Special topics 215 (2013): 61–73. doi:10.1140/epjst/e2013-01715-5

Publisher: Springer, Les Ulis ;, Francia

Metrics

Back to previous page

Cite as

BibTeX entry

@article{oai:it.cnr:prodotti:278835,
	title = {Understanding the patterns of car travel},
	author = {Pappalardo L. and Rinzivillo S. and Qu Z. and Pedreschi D. and Giannotti F.},
	publisher = {Springer, Les Ulis ;, Francia},
	doi = {10.1140/epjst/e2013-01715-5},
	journal = {The European physical journal. Special topics},
	volume = {215},
	pages = {61–73},
	year = {2013}
}