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Smart city article details

Title	Using Classification For Traffic Prediction In Smart Cities
ID_Doc	60507
Authors	Christantonis, K; Tjortjis, C; Manos, A; Filippidou, DE; Mougiakou, E; Christelis, E
Year	2020
Published	ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2020, PT I, 583
DOI	http://dx.doi.org/10.1007/978-3-030-49161-1_5
Abstract	Smart cities emerge as highly sophisticated bionetworks, providing smart services and ground-breaking solutions. This paper relates classification with Smart City projects, particularly focusing on traffic prediction. A systematic literature review identifies the main topics and methods used, emphasizing on various Smart Cities components, such as data harvesting and data mining. It addresses the research question whether we can forecast traffic load based on past data, as well as meteorological conditions. Results have shown that various models can be developed based on weather data with varying level of success.
Author Keywords	Smart cities; Data mining; Prediction; Classification

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