Even though a variety of human mobility models have been recently developed, models that
can capture real-time human mobility of urban populations in a sustainable and economical …

Human mobility is a multidisciplinary field of physics and computer science and has drawn a
lot of attentions in recent years. Some representative models and prediction approaches …

Smart cities have been recognized as a promising research focus around the world. To
realize smart cities, computation and utilization of big data are key factors. More specifically …

Fast urbanization generates increasing amounts of travel flows, urging the need for efficient
transport planning policies. In parallel, mobile phone data have emerged as the largest …

Cellular signaling data provide a massive and emerging source for acquiring urban origin–
destination (OD) travel flow information, supporting decision making on large-scale mobility …

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 …

Most existing human mobility literature focuses on exterior characteristics of movements but
neglects activities, the driving force that underlies human movements. In this research, we …

Over the last decades, modeling of user mobility has become increasingly important in
mobile networking research and development. This has led to the adoption of modeling …

Expanding our knowledge about human mobility is essential for building efficient wireless
protocols and mobile applications. Previous human mobility studies have typically been built …

Human mobility models are key components of various research fields including
transportation, mobile networks, disaster management, urban planning, and epidemic …