Smart City Gnosys

Smart city article details

Title	Imap: Individual Human Mobility Patterns Visualizing Platform
ID_Doc	30264
Authors	Zheng Y.A.; Abusafia A.; Lakhdari A.; Lui S.T.T.; Bouguettaya A.
Year	2022
Published	Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
DOI	http://dx.doi.org/10.1145/3495243.3558759
Abstract	Understanding human mobility is essential for the development of smart cities and social behavior research. Human mobility models may be used in numerous applications, including pandemic control, urban planning, and traffic management. The existing models' accuracy in predicting users' mobility patterns is less than 25%. The low accuracy may be justified by the flexible nature of human movement. Indeed, humans are not rigid in their daily movement. In addition, the rigid mobility models may result in missing the hidden regularities in users' records. Thus, we propose a novel perspective to study and analyze human mobility patterns and capture their flexibility. Typically, the mobility patterns are represented by a sequence of locations. We propose to define the mobility patterns by abstracting these locations into a set of places. Labeling these locations will allow us to detect close-to-reality hidden patterns. We present IMAP, an Individual huMAn mobility Patterns visualizing platform. Our platform enables users to visualize a graph of the places they visited based on their history records. In addition, our platform displays the most frequent mobility patterns computed using a modified PrefixSpan approach. © 2022 Owner/Author.
Author Keywords	flexible pattern; human mobility; mobility pattern; social networks

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