Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-319-04178-0_2 | CITIZEN IN SENSOR NETWORKS |
Field | DocType | Volume |
Flow network,Urbanization,GSM,Telecommunications,Transport engineering,Exploit,Traffic count,Mobile phone,Engineering,Database transaction,Transportation planning | Conference | 8313 |
ISSN | Citations | PageRank |
0302-9743 | 3 | 0.40 |
References | Authors | |
5 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mirco Nanni | 1 | 1412 | 84.47 |
| Roberto Trasarti | 2 | 710 | 45.82 |
| Barbara Furletti | 3 | 80 | 7.87 |
| Lorenzo Gabrielli | 4 | 109 | 10.41 |
| Peter Van Der Mede | 5 | 3 | 0.40 |
| Joost De Bruijn | 6 | 3 | 0.40 |
| Erik de Romph | 7 | 6 | 0.89 |
| Gerard Bruil | 8 | 3 | 0.40 |