Placing Aside a Strategy That Makes Use of Dijkstra's Algorithm to Determine the Most Cost-Effective and Efficient Route for Managing Trash Properly While Reducing Pollution

Abstract

This research proposes an innovative approach to model and optimize a waste disposal management system using Dijkstra's algorithm. The goal is to find the shortest routes for proper waste disposal in order to reduce pollution and costs. The intention is to minimize expenses and pollution by discovering the most efficient routes for disposing of garbage. The trash disposal pathways were modeled and optimized using Dijkstra's algorithm. This allows the waste management board to find the most efficient routes, minimizing distance, time and costs. The results show Dijkstra's algorithm can be effectively applied to improve the waste disposal process in Ebonyi state. Optimized waste disposal routing in Abakaliki, Ebonyi State. Modeled an equation to calculate the shortest paths between dumpsites. Applied Dijkstra's algorithm to design the optimization model. The system is a scalable and adaptable model, it advances the integration of technology in municipal services, promoting the use of Geographic Information Service (GIS) and real-time data for dynamic route optimization. The paper recommends further research on integrating a user-friendly interface and alerts for the system. It also discusses the broader applications of this Dijkstra-based route optimization approach beyond just waste management, such as in traffic management, urban planning, and other logistics/transportation domains. The work presents a practical application of Dijkstra's algorithm to enhance the efficiency and sustainability of waste disposal systems, with potential for wider impact across different sectors.