How can we find the best garbage collection route?
DOI:
https://doi.org/10.22201/cuaieed.16076079e.2024.25.1.12Keywords:
Graph theory, Garbage collection, Optimal path, Algorithm, Eulerian graphAbstract
Facing the challenge of optimizing garbage collection in the Rosarito neighborhood, Los Cabos, Mexico, we utilized tools from Graph Theory to model and solve the problem. We constructed a graph representing the street layout and applied the Fleury algorithm, modified to minimize U-turns. Without a Eulerian graph, we added edges to ensure complete routes and employed the Kruskal algorithm to obtain a minimum-weight spanning tree. Results reveal an optimal route with a reduced distance of 0.695 km compared to the current route, leading to a significant annual savings of approximately 108,718 km. The proposal eliminates avoidable U-turns, enhances collection efficiency, and holds potential applications in other urban logistics contexts.
References
Chartrand, G., Lesniak, L., y Zhang, P. (2010). Graphs & Digraphs. En Chapman and Hall/CRC eBooks. https://doi.org/10.1201/b14892.
Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to Algorithms, third edition. mit Press. https://pd.daffodilvarsity.edu.bd/course/material/book-430/pdf_content.
Kruskal, J. B. (1956). On the shortest spanning subtree of a graph and the traveling salesman problem. Proceedings of the American Mathematical society, 7(1), 48-50. http://5010.mathed.usu.edu/Fall2018/THigham/Krukskal.pdf.
Martínez Cano, O. (2021). Uso de la Teoría de Gráficas para optimizar la ruta de recolección de basura en la colonia Rosarito del municipio de Los Cabos. [Tesis de licenciatura, en proceso de publicación]. Universidad Abierta y a Distancia de México, unadm.
Wikipedia. (2021, 4 de diciembres). Discusión: problema de los puentes de Königsberg. https://goo.su/YCUxsd.
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