Call for Papers : Volume 15, Issue 11, November 2024, Open Access; Impact Factor; Peer Reviewed Journal; Fast Publication

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LUCY: A Smart City Mobile Application Architecture Model for Multidimensional Interests Spaces and Personas using Machine Learning Models

Rapid urbanization, native mobile applications and the increase in the number of citizen created several challenges, issues or opportunities. Many initiatives have been developed under the Smart City label in a way to provide a response to challenges facing cities today. In other word, the smart city concept offers opportunities to get way with these challenges and issues, solve urban problems and provide citizens with a better living environment. Therefore, there is a strong activity on defining smart city application architecture to cope with this complexity, putting in place a significant range of different kinds of services and processes using mobile information technology and Machine Learning Models (MLM). This work propose a Smart City Application Architecture (SCAA) that focus on the citizens’ expectations, in terms of smart services, than cities administrators’ expectations, in terms of administration of these new smart services mobile applications using multidimensional interests spaces. To support our Smart City Model, we propose a new multi-tenants based platform prototype, called LUCY.

Author: 
Ronald Brisebois, Apollinaire Nadembega, Julien Rault and Wilfried Hoffman
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