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Mining human mobility data and social media for smart ride sharing

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Abstract:
People living in highly-populated cities increasingly suffer an impoverishment of their quality of life due to pollution and traffic congestion problems caused by the huge number of circulating vehicles. The focus of this thesis is on improving ride sharing systems as a possible solution to reduce the number of circulating vehicles.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Ride-sharing; Matching Algorithms; Activity-Based; Social Media; Attendance Prediction
Elenco autori:
MONTEIRO DE LIRA, VINICIUS CEZAR
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/378634
  • Dati Generali

Dati Generali

URL

https://ieeexplore.ieee.org/document/8788737
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