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Title	Towards A Context-Based Mobility Prediction In Smart Cities: First Experimentations
ID_Doc	57812
Authors	Hocine B.; Abdelkrim M.; Slimane H.; Amel B.; Allel H.
Year	2023
Published	Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023
DOI	http://dx.doi.org/10.1109/TrustCom60117.2023.00360
Abstract	This paper addresses the prediction of mobility and emphasizes the main steps of our context-based mobility prediction approach that are trajectory modelling, data processing and prediction process. First, we present our context-based and prediction - oriented trajectory model, which relies on the grid technique for trajectory description. Second, we describe a data processing architecture for data coming from Wifi networks. Third, we focus on our data mining-based prediction process used for the first experimentations. Evaluation of our contributions is performed on a real dataset. First results showed the positive impact of our trajectory model on our mobility prediction process. © 2023 IEEE.
Author Keywords	context; data processing architecture; mobility prediction; region; trajectory modeling; urban human mobility

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