Urban anomaly analytics: Description, detection, and prediction
Urban anomalies may result in loss of life or property if not handled properly. Automatically
alerting anomalies in their early stage or even predicting anomalies before happening is of …
alerting anomalies in their early stage or even predicting anomalies before happening is of …
Mobile phone data: A survey of techniques, features, and applications
Due to the rapid growth in the use of smartphones, the digital traces (eg, mobile phone data,
call detail records) left by the use of these devices have been widely employed to assess …
call detail records) left by the use of these devices have been widely employed to assess …
Map** hourly dynamics of urban population using trajectories reconstructed from mobile phone records
Z Liu, T Ma, Y Du, T Pei, J Yi, H Peng - Transactions in GIS, 2018 - Wiley Online Library
Understanding the spatiotemporal dynamics of urban population is crucial for addressing a
wide range of urban planning and management issues. Aggregated geospatial big data …
wide range of urban planning and management issues. Aggregated geospatial big data …
[HTML][HTML] Unveiling large-scale commuting patterns based on mobile phone cellular network data
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 …
Spectragan: Spectrum based generation of city scale spatiotemporal mobile network traffic data
City-scale spatiotemporal mobile network traffic data can support numerous applications in
and beyond networking. However, operators are very reluctant to share their data, which is …
and beyond networking. However, operators are very reluctant to share their data, which is …
A mobility network approach to identify and anticipate large crowd gatherings
The study of large crowd gatherings combines aspects of longer-range human mobility with
site-specific pedestrian dynamics. Recently, substantial progress has been made in …
site-specific pedestrian dynamics. Recently, substantial progress has been made in …
Early warning of burst passenger flow in public transportation system
Burst passenger flow in the public transportation system is serious to public safety. Existing
works mainly focused on prediction and monitoring of regular passenger flow, which are not …
works mainly focused on prediction and monitoring of regular passenger flow, which are not …
Trajbert: Bert-based trajectory recovery with spatial-temporal refinement for implicit sparse trajectories
In the realm of human mobility data analysis, a multitude of constraints result in the
publication of sparse, non-uniform implicit trajectories without explicit location information …
publication of sparse, non-uniform implicit trajectories without explicit location information …
Digital daily cycles of individuals
Humans, like almost all animals, are phase-locked to the diurnal cycle. Most of us sleep at
night and are active through the day. Because we have evolved to function with this cycle …
night and are active through the day. Because we have evolved to function with this cycle …