TY - GEN
T1 - Optimization of Solid Waste Collection Routes in the District of Villa El Salvador, Lima-Perú
AU - Velez De Villa-Huacachi, Manuel
AU - Huerta-Vásquez, Jimmy
AU - Flores-Mayta, Rodrigo
AU - Herrera-Castillo, Hans
AU - Ninaquispe-Soto, Mario
AU - Riega-Virú, Yasmina
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - The efficient management of solid waste in urban environments is crucial due to the increase in population and consumerism. This study focuses on Villa El Salvador, Lima, Peru, and proposes the formulation of the traveling agent problem (TSP) to optimize waste collection routes. Using a quantitative approach, data was collected through open sources, interviews with municipal officials, and testimonies from residents. Using tools such as Google Earth and a C++ program, distances were calculated and optimal routes were designed. The results showed a significant reduction in total travel distance to 9,146 m and a time of 5 h and 48 min, suggesting improvements in operational efficiency and waste management. Although limitations were identified such as access to closed groups and traffic areas, the methodology is adaptable to other similar districts. This study highlights the importance of route optimization not only to improve operational efficiency, but also to effectively manage the capacity of collection vehicles and contribute to sustainable urban waste management.
AB - The efficient management of solid waste in urban environments is crucial due to the increase in population and consumerism. This study focuses on Villa El Salvador, Lima, Peru, and proposes the formulation of the traveling agent problem (TSP) to optimize waste collection routes. Using a quantitative approach, data was collected through open sources, interviews with municipal officials, and testimonies from residents. Using tools such as Google Earth and a C++ program, distances were calculated and optimal routes were designed. The results showed a significant reduction in total travel distance to 9,146 m and a time of 5 h and 48 min, suggesting improvements in operational efficiency and waste management. Although limitations were identified such as access to closed groups and traffic areas, the methodology is adaptable to other similar districts. This study highlights the importance of route optimization not only to improve operational efficiency, but also to effectively manage the capacity of collection vehicles and contribute to sustainable urban waste management.
KW - Route optimization
KW - Solid waste collection
KW - Urban environmental management
UR - http://www.scopus.com/inward/record.url?scp=105001229459&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-83210-9_29
DO - 10.1007/978-3-031-83210-9_29
M3 - Conference contribution
AN - SCOPUS:105001229459
SN - 9783031832093
T3 - Communications in Computer and Information Science
SP - 392
EP - 404
BT - Advanced Research in Technologies, Information, Innovation and Sustainability - 4th International Conference, ARTIIS 2024, Revised Selected Papers
A2 - Guarda, Teresa
A2 - Portela, Filipe
A2 - Gatica, Gustavo
T2 - 4th International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability 2024, ARTIIS 2024
Y2 - 21 October 2024 through 23 October 2024
ER -
