Recent popularization of personal hand-held mobile devices makes it important to
characterize the mobility pattern of mobile device users, so as to accurately predict user …

Understanding user mobility is critical for simulations of mobile devices in a wireless
network, but current mobility models often do not reflect real user movements. In this paper …

Understanding human mobility patterns provides us with knowledge about human mobility
in an urban context, which plays a critical role in urban planning, traffic management and the …

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 …

Existing studies extensively utilized taxicab trips and individuals' movements captured by
mobile phone usages (referred as" mobile phone movements" hereafter) to understand …

Knowing" what is happening" and" what will happen" of the mobility in a city is the building
block of a data-driven smart city system. In recent years, mobility digital twin that makes a …

Population migration, social check-in, vehicle navigation, and other spatial behavior big data
have become vital carriers characterizing users' spatial behavior.“Tencent Migration” big …

Large-scale population mobility has an important impact on the spatial layout of China's
urban systems. Compared with traditional census data, mobile-phone-based travel big data …

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

Human Mobility Extraction with cellular Signaling Data (SD) is essential for human mobility
understanding, epidemic control, and wireless network planning. SD log the detailed …