Multi-Modal Modeling of Urban Mobility

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Design and efficacy of a routing protocol for mobile ad-hoc networks strongly depends on the underlying mobility pattern of the mobile nodes. Counter to the perception of mobility being random in time and space, the authors show that spatial modality is a key trait of human mobility. Most of the mobility of an individual can be captured by a small fraction of all locations, called spatial modes, visited by the person. Further, they show that there is strong predictability of spatial modes in time. They combine these properties into a mobility model that accurately captures more than 90 % of the mobility of a typical individual.