Smart City Gnosys

Smart city article details

Title	Mobility And Prediction: An Asset For Crisis Management
ID_Doc	37339
Authors	Gutowski N.; Amghar T.; Camp O.; Hammoudi S.
Year	2018
Published	How Information Systems Can Help in Alarm/Alert Detection
DOI	http://dx.doi.org/10.1016/B978-1-78548-302-8.50002-2
Abstract	Recommendations have long been a means of helping users select services. In a smart city environment, recommendation algorithms should take into account the user’s context in order to gain in accuracy. What is the context of a smart city user and how can it be captured? In this chapter, we answer these two questions. After specifying what we understand by context information, we show how the city’s mobility pattern can be used to infer rich contextual information. The main objective of our project will be finally to recommend services according to an estimated trajectory of a user in the smart city. For the application domains that we wish to consider in the future, we have emergency situation and crisis management which are among the most crucial dimensions of smart and future city design. © 2018 ISTE Press Ltd Published by Elsevier Ltd. All rights reserved.
Author Keywords	Human mobility; MCSC; Mobility; Personalized services; Prediction; Ur-MoVe; Urban mobility; Urban statistics

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