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

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

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

Human mobility prediction is a key task in smart cities to help improve urban management
effectiveness. However, it remains challenging due to widespread intractable noises in large …

Human mobility prediction is crucial for epidemic control, urban planning, and traffic
forecasting systems. We observe urban traffic flow prediction has a hierarchical structure, in …

Accurate mobility prediction is becoming increasingly important in human behavior
research, mainly due to many location-based applications such as mobile social networks …

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

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

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

Predicting the future location of users in wireless networks has numerous applications, and
can help service providers to improve the quality of service perceived by their clients. The …