Otimização de rotas para coleta seletiva no setor central de Toledo - PR: uma abordagem determinística com o algoritmo A* para minimização eficiente

Abstract

Smart cities are a new concept of cities that have emerged to deal with the increase in urban population and the need for urban planning. They can be defined by the use of technologies and data to improve the quality of life of their inhabitants. Selective waste collection is an important practice for preserving the environment and the sustainability of cities. The use of routing algorithms to plan efficient routes for waste collection can help reduce traffic congestion, minimize collection time, and reduce fuel costs. In this work, the application of the A* algorithm to the problem of selective waste collection in the city of Toledo-PR is proposed. Through on-site data collection, 84 selective collection points were mapped in the central region of the municipality. The graph of the central region, obtained through the public OpenStreetMap project, was used to solve the minimum path problem between the selective collection points. The routing algorithm for selective collection points achieved promising results, reaching a minimum distance of 26.82 km. Furthermore, the results of this research can be used to support future research aimed at also solving the problem of optimal choice of visitation order for collection points.