Nanni M., Trasarti R., Furletti B., Gabrielli L., Van Der Mede P., De Brujin J., De Romph E., Bruil G.
GSM Database Applications
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.
Source: Citizen in Sensor Networks, edited by Jordi Nin, Daniel Villatoro, pp. 15–25, 2014
@inbook{oai:it.cnr:prodotti:278614, title = {Transportation planning based on GSM traces: a case study on Ivory Coast}, author = {Nanni M. and Trasarti R. and Furletti B. and Gabrielli L. and Van Der Mede P. and De Brujin J. and De Romph E. and Bruil G.}, doi = {10.1007/978-3-319-04178-0_2}, booktitle = {Citizen in Sensor Networks, edited by Jordi Nin, Daniel Villatoro, pp. 15–25, 2014}, year = {2014} }