In this work we present an analysis process that exploits mobile phone transaction (trajectory) data to infer a transport demand model for the territory under monitoring. In particular, long-term analysis of individual call traces are performed to reconstruct systematic movements, and to infer an origin-destination matrix. We will show a case study on Ivory Coast, with emphasis on its major urbanization Abidjan. The case study includes the exploitation of the inferred mobility demand model in the construction of a transport model that projects the demand onto the transportation network (obtained from open data), and thus allows an understanding of current and future infrastructure requirements of the country.

Transportation planning based on GSM traces: a case study on Ivory Coast

Nanni M;Trasarti R;Furletti B;Gabrielli L;
2014

Abstract

In this work we present an analysis process that exploits mobile phone transaction (trajectory) data to infer a transport demand model for the territory under monitoring. In particular, long-term analysis of individual call traces are performed to reconstruct systematic movements, and to infer an origin-destination matrix. We will show a case study on Ivory Coast, with emphasis on its major urbanization Abidjan. The case study includes the exploitation of the inferred mobility demand model in the construction of a transport model that projects the demand onto the transportation network (obtained from open data), and thus allows an understanding of current and future infrastructure requirements of the country.
2014
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
Jordi Nin, Daniel Villatoro
Citizen in Sensor Networks
15
25
978-3-319-04177-3
http://link.springer.com/chapter/10.1007%2F978-3-319-04178-0_2
Sì, ma tipo non specificato
GSM
Database Applications
8
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
restricted
Nanni, M; Trasarti, R; Furletti, B; Gabrielli, L; Van Der Mede, P; De Brujin, J; De Romph, E; Bruil, G
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/257682
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