In this study, with Estonia as an example, we established an approach based on Hidden
Markov Model to extract large-scale commuting patterns at different geographical levels …

The partition of the Mobile Phone Network (MPN) service area into the cell towers' Voronoi
polygons (VP) may serve as a coordinate system for representing the location of the mobile …

Kalman filter is a well-established accuracy correction method in control, guidance, and
navigation. With the popularity of mobile communication and ICT, Kalman Filter has been …

Availability of the big data from Bluetooth MAC Scanners (BMS) over the network provides
opportunities to trace the movement of the individual Bluetooth-equipped vehicles on the …

Analisa-se a viabilidade de pesquisas sobre usuários de ônibus com base na detecção de
endereços MAC WiFi de dispositivos portáteis. A motivação para o estudo decorre da …

The fast development of information and communication technologies has engendered a
massive generation of mobile data with great potential for extracting mobility patterns and …

Mobile positioning is a key element in many geolocation applications and research fields
about human mobility patterns, location-based services, targeted marketing, urban mobility …

The emerging technologies related to mobile data especially CDR data has great potential
for mobility and transportation applications. However, it presents some challenges due to its …

Building or detecting community association is a key attribute in understanding relationships
in social networks and their behavior. By detecting groups, we can address many issues …

This paper conducts a thorough analysis of human mobility patterns using commercially
available cellular location data from October 2020. The study focuses on six fundamental …