Smart City Gnosys

Smart city article details

Title	On The Challenges Of Mobility Prediction In Smart Cities
ID_Doc	39810
Authors	Boukhedouma H.; Meziane A.; Hammoudi S.; Benna A.
Year	2020
Published	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 44, 4/W2-2020
DOI	http://dx.doi.org/10.5194/isprs-archives-XLIV-4-W2-2020-17-2020
Abstract	The mass of data generated from people's mobility in smart cities is constantly increasing, thus making a new business for large companies. These data are often used for mobility prediction in order to improve services or even systems such as the development of location-based services, personalized recommendation systems, and mobile communication systems. In this paper, we identify the mobility prediction issues and challenges serving as guideline for researchers and developers in mobility prediction. To this end, we first identify the key concepts and classifications related to mobility prediction. We then, focus on challenges in mobility prediction from a deep literature study. These classifications and challenges are for serving further understanding, development and enhancement of the mobility prediction vision. © Authors 2020.
Author Keywords	context; mobility; movement type; prediction; smart city

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