<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Optimising Urban Waste Management Through Smart Monitoring Systems: A Case Study in Enhancing Efficiency and Sustainability

Department of Measurements, Apparatus and Static Converters, Electrical Engineering Faculty

The Scientific Bulletin of Electrical Engineering Faculty

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This paper illustrates the significant potential of advanced waste management strategies, particularly the implementation of a trash level monitoring system,...

Optimising Urban Waste Management Through Smart Monitoring Systems: A Case Study in Enhancing Efficiency and Sustainability

Online veröffentlicht: 20. Juni 2024

Seitenbereich: 60 - 63

DOI: https://doi.org/10.2478/sbeef-2024-0011

Schlüsselwörter
trash bin, fill ratio, optimal route, efficiency coefficient

© 2024 Bogdan-Adrian Enache et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Optimising Urban Waste Management Through Smart Monitoring Systems: A Case Study in Enhancing Efficiency and Sustainability

Online veröffentlicht: 20. Juni 2024

Seitenbereich: 60 - 63

DOI: https://doi.org/10.2478/sbeef-2024-0011

Schlüsselwörtertrash bin, fill ratio, optimal route, efficiency coefficient

© 2024 Bogdan-Adrian Enache et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
trash bin, fill ratio, optimal route, efficiency coefficient