Toward a route detection method base on detail call records

Miguel Nuñez del Prado Cortéz, Hadrien Hendrikx

Research output: Working paper


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.
Original languageEnglish
Place of PublicationPerú
PublisherUniversidad del Pacífico. Centro de Investigación
StatePublished - 2016


  • APPs
  • Análisis cluster
  • Teléfonos inteligentes


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