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.
Mining human mobility data and social media for smart ride sharing
Monteiro de Lira V.
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.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
prod_434158-doc_155155.pdf
non disponibili
Descrizione: Mining human mobility data and social media for smart ride sharing
Tipologia:
Versione Editoriale (PDF)
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
50.68 kB
Formato
Adobe PDF
|
50.68 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
