With the emergence of smartphones and location-based services, user mobility prediction
has become a critical enabler for a wide range of applications, like location-based …

The ongoing COVID-19 pandemic is creating disruptive changes in urban mobility that may
compromise the sustainability of the public transportation system. As a result, worldwide …

Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …

Due to the pervasiveness of mobile devices, a vast amount of geolocated data is generated,
which allows us to gain deep insight into human behavior. Among other data sources, the …

The comprehensive access to road traffic patterns in the continuously growing urban areas
is key to achieve a sustainable mobility. However, the inherent complexity of urban traffic …

Worldwide cities are establishing efforts to collect urban traffic data from various modes and
sources. Integrating traffic data, together with their situational context, offers more …

Heterogeneous sensor networks, including traffic monitoring systems and telemetry systems,
produce massive spatiotemporal data. Geolocated time series data and timestamped …

The developments of Information and Communication Technology (ICT) and Internet of
Things (IoT) are being used to enhance quality, performance and interactivity of urban …

Private cars, ie, the vehicles owned for private use, compose a large portion of the civilian
automobiles, which play an important role in metropolitan transportation. Private car …

BehavMiner: Mining User Behaviors from Mobile Phone Data for Personalized Services
Page 1 BehavMiner: Mining User Behaviors from Mobile Phone Data for Personalized …