Markov Modulated Process to Model Human Mobility
Brian Chang (Student TU Delft)
Liufei Yang (Student TU Delft)
Mattia Sensi (TU Delft - Network Architectures and Services)
M.A. Achterberg (TU Delft - Network Architectures and Services)
F. Wang (TU Delft - Network Architectures and Services)
M. Rinaldi (TU Delft - Transport and Planning)
P.F.A. Van Mieghem (TU Delft - Network Architectures and Services)
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Abstract
We introduce a Markov Modulated Process (MMP) to describe human mobility. We represent the mobility process as a time-varying graph, where a link specifies a connection between two nodes (humans) at any discrete time step. Each state of the Markov chain encodes a certain modification to the original graph. We show that our MMP model successfully captures the main features of a random mobility simulator, in which nodes moves in a square region. We apply our MMP model to human mobility, measured in a library.