Survey on traffic prediction in smart cities
The rapid development in machine learning and in the emergence of new data sources
makes it possible to examine and predict traffic conditions in smart cities more accurately …
makes it possible to examine and predict traffic conditions in smart cities more accurately …
[PDF][PDF] A survey of results on mobile phone datasets analysis
In this paper, we review some advances made recently in the study of mobile phone
datasets. This area of research has emerged a decade ago, with the increasing availability …
datasets. This area of research has emerged a decade ago, with the increasing availability …
The universal visitation law of human mobility
Human mobility impacts many aspects of a city, from its spatial structure,–to its response to
an epidemic,,–. It is also ultimately key to social interactions, innovation, and productivity …
an epidemic,,–. It is also ultimately key to social interactions, innovation, and productivity …
[HTML][HTML] A multi-source dataset of urban life in the city of Milan and the Province of Trentino
G Barlacchi, M De Nadai, R Larcher, A Casella… - Scientific data, 2015 - nature.com
The study of socio-technical systems has been revolutionized by the unprecedented amount
of digital records that are constantly being produced by human activities such as accessing …
of digital records that are constantly being produced by human activities such as accessing …
[HTML][HTML] On the privacy-conscientious use of mobile phone data
The breadcrumbs we leave behind when using our mobile phones—who somebody calls,
for how long, and from where—contain unprecedented insights about us and our societies …
for how long, and from where—contain unprecedented insights about us and our societies …
[HTML][HTML] Forecasting influenza activity using machine-learned mobility map
Human mobility is a primary driver of infectious disease spread. However, existing data is
limited in availability, coverage, granularity, and timeliness. Data-driven forecasts of disease …
limited in availability, coverage, granularity, and timeliness. Data-driven forecasts of disease …
Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks
Dynamic human activity intensity information is of great importance in many location-based
applications. However, two limitations remain in the prediction of human activity intensity …
applications. However, two limitations remain in the prediction of human activity intensity …
[HTML][HTML] Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings
Human mobility is an important driver of geographic spread of infectious pathogens.
Detailed information about human movements during outbreaks are, however, difficult to …
Detailed information about human movements during outbreaks are, however, difficult to …
The netmob23 dataset: A high-resolution multi-region service-level mobile data traffic cartography
Digital sources have been enabling unprecedented data-driven and large-scale
investigations across a wide range of domains, including demography, sociology …
investigations across a wide range of domains, including demography, sociology …