A systematic review of mobile phone data in crime applications: a coherent taxonomy based on data types and analysis perspectives, challenges, and future research …
Digital technologies have recently become more advanced, allowing for the development of
social networking sites and applications. Despite these advancements, phone calls and text …
social networking sites and applications. Despite these advancements, phone calls and text …
[HTML][HTML] Unveiling large-scale commuting patterns based on mobile phone cellular network data
A Hadachi, M Pourmoradnasseri… - Journal of Transport …, 2020 - Elsevier
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 …
Markov Model to extract large-scale commuting patterns at different geographical levels …
Extracting significant mobile phone interaction patterns based on community structures
M Ghahramani, MC Zhou… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobile phones have emerged as an essential part of people's lives. The data produced from
them can be utilized to derive the spatio-temporal information of their users' whereabouts …
them can be utilized to derive the spatio-temporal information of their users' whereabouts …
Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data: Analyzing Travel and Behavior during COVID-19
The COVID-19 pandemic affected many aspects of human mobility and resulted in
unprecedented changes in population dynamics, including lifestyle and mobility …
unprecedented changes in population dynamics, including lifestyle and mobility …
OD-matrix extraction based on trajectory reconstruction from mobile data
M Pourmoradnasseri, K Khoshkhah… - … on Wireless and …, 2019 - ieeexplore.ieee.org
In this work, we propose a novel approach to reconstruct the individual's trajectories that has
been extracted from Call Details Records (CDR) and Visitor Location Registry (VLR) data …
been extracted from Call Details Records (CDR) and Visitor Location Registry (VLR) data …
Federated Learning assisted framework to periodically identify user communities in urban space
CDT de Souza, JF de Rezende, CAV Campos - Ad Hoc Networks, 2024 - Elsevier
Identifying individuals with similar behaviors and mobility patterns has become essential to
improving the functioning of urban services. However, since these patterns can vary over …
improving the functioning of urban services. However, since these patterns can vary over …
Exploring a new model for mobile positioning based on CDR data of the cellular networks
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 …
for mobility and transportation applications. However, it presents some challenges due to its …
From mobility analysis to mobility hubs discovery: A concept based on using cdr data of the mobile networks
Understanding human mobility in dynamic environments, such as our cities, is a crucial step
toward the development of our economy, our environment, our transportation, as well as our …
toward the development of our economy, our environment, our transportation, as well as our …
Towards state-full positioning of mobile subscribers through advanced cell coverage modeling technique
The mobile subscribers' positioning is an essential feature for multiple applications such as
navigation, geo-information systems, and location-based service. Having accurate …
navigation, geo-information systems, and location-based service. Having accurate …
[PDF][PDF] Mobile Big Data: Foundations, State of the Art, and Future Directions.
Emerging ubiquitous mobile services and applications have unveiled the Mobile Big Data
era in which the large volumes of data derived from mobile Internet traffics become valuable …
era in which the large volumes of data derived from mobile Internet traffics become valuable …