Smart card (SC) data has become one of the major data sources for transit passengers'
behavior analysis, network modeling, and control optimization. Origin–destination (O–D) …

The analysis of human mobility behavior through computational techniques finds
applications in various domains and provides valuable insights for urban planning …

The proliferation of tracking sensors in today's devices has led to the generation of high-
frequency, high-volume streams of mobility data capturing the movements of various objects …

The analysis of semantic trajectories has gained significant attention in urban mobility
research due to its potential to provide comprehensive insights into movement patterns and …

Mobility data analysis provides insights into human movement patterns, traffic flows, and
urban planning strategies. Human dynamics analysis focuses on tracking people to …

Motion prediction has gotten much attention in the past few years. It has endless uses either
in real life or in virtual life (gaming). The current dynamic motion prediction models, such as …

Municipal authorities in the suburban cities of many developing countries need to deal with
rapid unplanned urbanization, huge population bursts, and policy planning under severe …

The pervasive adoption of mobile devices and proximity technologies enables firms to trace
consumers' trajectories and locations. This connects firms' marketing and operations …

Real-time monitoring of visitor behavior in venues such as museums and shops offers
valuable insights into visitor preferences, hotspots, and space occupancy. Visitors typically …

The proliferation of motion sensors has significantly contributed to the availability of mobility
data. An important line of research focuses on augmenting these datasets with diverse …