Abstract
Abstract This paper illustrates the significant potential of advanced waste management strategies, particularly the implementation of a trash level monitoring system, to enhance urban sustainability and operational efficiency. This research rigorously evaluates the superiority of real-time data-driven systems over conventional waste management practices by leveraging a dynamic model to simulate trash fill levels and employing algorithms to identify optimal collection routes.
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