Adaptive Group Multi-Role Assignment in Garbage Management System

In addition to prompt garbage collection and strategic routing, effective waste management also involves optimizing resource allocation and ensuring the sustainability of disposal practices. The E-CARGO (Environments – Classes, Agents, Roles, Groups, and Objects) model, coupled with the Role-Based Collaboration (RBC) methodology, offers a sophisticated approach to address these multifaceted challenges. By simulating the scheduling of garbage trucks for the transportation of bins within urban environments, the model provides valuable insights into the dynamics of waste collection operations. Furthermore, by integrating RBC, which dynamically assigns roles to agents involved in the waste management process, the model promotes coordination and cooperation among various entities, including municipal authorities, waste collection agencies, and residents. Through this adaptive framework, the article proposes a holistic approach to urban waste management that not only enhances operational efficiency but also fosters environmental sustainability and community engagement.