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Smart city article details

Title Towards An Optimization Model For Household Waste Bins Location Management
ID_Doc 58018
Authors Alaoui M.L.T.; Belhiah M.; Ziti S.
Year 2025
Published International Journal of Advanced Computer Science and Applications, 16, 4
DOI http://dx.doi.org/10.14569/IJACSA.2025.0160471
Abstract Smart cities require effective, adaptive household waste management systems due to rapid urbanization. Traditional bin placement strategies based on placing bins equidistant among residents fail to account for actual human behavior, leading to overflowing or underused bins. This paper addresses optimizing bin location and capacity through Internet of things (IoT) technologies and data-driven decision-making by deploying LoRaWAN sensors in Tangier City as a case study; real-time usage information was then collected and analyzed. Through statistical analysis and outlier detection techniques, the proposed approach identifies bin placements that are non-optimized by using statistical analysis. It also evaluates data quality and classes bins by their usage level; results show several bins were constantly overused or underused indicating that dynamic placement and capacity adjustment would improve waste collection efficiency, reduce operational costs and enhance citizen satisfaction within a Smart City framework. © (2025), (Science and Information Organization). All rights reserved.
Author Keywords bin location; household waste; IoT; LoRaWan; outlier detection; Smart City


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