Understanding human mobility benefits numerous applications such as urban planning,
traffic control, and city management. Previous work mainly focuses on modeling spatial and …

We study the problem of modeling human mobility from semantic trace data, wherein each
GPS record in a trace is associated with a text message that describes the user's activity …

Human mobility prediction techniques are instrumental for many important applications
including service management and city planning. Previous work looks at the inherent …

In the modern information society, analysis of human mobility becomes increasingly
essential in various areas such as city planning and resource management. With users' …

Mobility prediction enables appealing proactive experiences for location-aware services and
offers essential intelligence to business and governments. Recent studies suggest that …

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

Accurate human mobility prediction is important for many applications in wireless networks,
including intelligent content caching and prefetching, network optimization, etc. However …

Human mobility forecasting is the key to energizing considerable mobile computing
services. However, we find that the collective mobility suffers the spatiotemporal …

Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

Massive digital mobility data are accumulated nowadays due to the proliferation of location-
based service (LBS), which provides the opportunity of learning knowledge from human …