Data volume grows explosively with the proliferation of powerful smartphones and
innovative mobile applications. The ability to accurately and extensively monitor and …

User mobility prediction can enable a mobile service provider to optimize the use of its
network resources, eg, through coordinated selection of base stations and intelligent content …

Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

Smart devices bring us the ubiquitous mobile accessing to Internet, making mobile Internet
grow rapidly. Using the mobile traffic data collected at core metropolitan 2G and 3G …

Call Detail Records (CDRs) have been widely used in the last decades for studying different
aspects of human mobility. The accuracy of CDRs strongly depends on the user-network …

The analysis of mobile phone data can help carriers to improve the way they deal with
unusual workloads imposed by large-scale events. This paper analyzes human mobility and …

Modeling human mobility is a critical task in fields such as urban planning, ecology, and
epidemiology. Given the current use of mobile phones, there is an abundance of data that …

Human mobility patterns can provide valuable information in understanding the impact of
human behavioral regularities in urban systems, usually with a specific focus on traffic …

In the current era of big spatial data, the vast amount of produced mobility data (by sensors,
GPS-equipped devices, surveillance networks, radars, etc.) poses new challenges related to …

Nowadays, we have the means to collect, store and process mobility data of an
unprecedented quantity, quality and timeliness. This is mainly due to the wide spread of …