TY - UNPB
T1 - Toward a route detection method base on detail call records
AU - Nuñez del Prado Cortéz, Miguel
AU - Hendrikx, Hadrien
PY - 2016
Y1 - 2016
N2 - In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers’ whereabouts. This location information allows computing eostatistics to study transportation systems, traffic jams, origin-destination matrix, etc. The first task to accomplish the aforementioned objectives is to detect routes that people use to go from A to B. Thus, in the present effort, we propose a method to extract automatically routes from CDR data relying on clustering and community detection algorithms.
AB - In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers’ whereabouts. This location information allows computing eostatistics to study transportation systems, traffic jams, origin-destination matrix, etc. The first task to accomplish the aforementioned objectives is to detect routes that people use to go from A to B. Thus, in the present effort, we propose a method to extract automatically routes from CDR data relying on clustering and community detection algorithms.
KW - APPs
KW - Análisis cluster
KW - Teléfonos inteligentes
KW - APPs
KW - Análisis cluster
KW - Teléfonos inteligentes
M3 - Working paper
T3 - Documento de discusión CIUP
BT - Toward a route detection method base on detail call records
CY - Lima
ER -
