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Smart city article details

Title	Intelligent Waste-Volume Management Method In The Smart City Concept
ID_Doc	32695
Authors	Lipianina-Honcharenko K.; Komar M.; Osolinskyi O.; Shymanskyi V.; Havryliuk M.; Semaniuk V.
Year	2024
Published	Smart Cities, 7, 1
DOI	http://dx.doi.org/10.3390/smartcities7010004
Abstract	This research paper proposes an innovative approach to urban waste management using intelligent methods of classification, clustering, and forecasting. The application of this approach allows for more efficient waste management and contributes to the sustainable development of the urban environment. The aim of this research is to develop an intelligent method for urban waste management, which includes clustering of waste sources, accurate forecasting of waste volumes, and evaluation of forecast results. To achieve this goal, a real dataset with city characteristics and waste data was used. On account of the war in Ukraine, the authors faced the problem of obtaining open data on waste in Ukraine, so it was decided to use data from another city (Singapore). The results show the high efficiency of the developed method. Comparison of the obtained results with the results of the nearest similar works shows that the main feature of this study is the high accuracy of waste-volume forecasting using the XGBoost model, which reached a level of up to 98%. © 2023 by the authors.
Author Keywords	classification; clustering; forecasting; intelligent method; smart city; sustainable environment; urban waste management

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