Mobile Traffic Signatures in the Urban Landscape

 

Academic Track

The idea

Until recently, scientists and sociologists have had difficulties in investigating the socioeconomic characterization of conurbations. Survey-based solutions are typically expensive and time-consuming. Mobile traffic data represent instead a valuable and practically no-cost source of information. It is well known that the urban landscape affects the communication activity of mobile users and has to be taken into account by providers to perform effective deployment or adaptive re-configuration of the network resources.

We propose a novel approach to build signatures from mobile phone data related to different base stations or small areas in one or multiple cities.
Such signatures are clustered together to identify larger areas with distinguishable behavior, representative of different urban landscapes.
Our methodology outperforms state-of-the-art approaches and has been used to analyze mobile traffic data from ten cities in Italy (Telecom Italia datasets) and France (Orange datasets).

The results show the presence of urban signatures that are common to many cities (e.g., related to office and commercial zones, residential neighborhoods, transportation hubs and leisure areas) and provide a dynamic description of the associated fabric. Conversely, very peculiar fabrics were also observed in specific cities (e.g. the whole Paris metro Stations, Vatican area in Rome, Stadium areas, etc.).
Our approach can be profitable for both automatic land use detection and network management operations.

 
 

The Team

UrbaNet Team

Angelo Furno is an INRIA postdoctoral fellow at INSA-Lyon CITI Lab since November 2014. He is interested in mobile data mining and analysis, community detection, semantic Web, and distributed architectures for service-oriented composition. His current research is focused on studying user mobility and usage patterns from data related to urban cellular networks.

Marco Fiore is a researcher at CNR - IEIIT (Italy) since March 2013. He is also an associate researcher at the CITI Lab of INSA Lyon. His current interests are in the following research areas: user mobility characterization in wireless access and spontaneous networks; mobile data mining and analysis; privacy in mobile traffic datasets; content download, upload and propagation in vehicular networks.

Razvan Stanica is an Associate Professor with the Telecommunications department at INSA de Lyon since September 2012. His research interests are focused on the collection and analysis of data from wireless networks, as well as on the design of wireless networking solutions in dense environments.

 

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