ROSE

Theoremus’s route optimisation module for waste is being developed to address the inefficiencies and environmental challenges associated with traditional waste collection systems. Municipalities and waste management companies often rely on fixed collection schedules that result in unnecessary trips, higher operational costs, and increased greenhouse gas (GHG) emissions. These inefficiencies, combined with the underutilisation of data generated by modern waste collection systems, inspired Theoremus to create a solution that leverages advanced data analytics to optimise waste logistics.

The project’s primary goal is to improve the efficiency and sustainability of waste collection operations. By developing an advanced logistics routing engine, the module will intelligently design routes for vehicles that cluster waste containers based on historical fill rates, assigns the most suitable vehicles to each cluster, and optimises schedules based on transport data patterns. This approach ensures that waste collection is performed only when necessary, significantly reducing vehicle miles travelled, operational time and costs.

The project, led by Theoremus, builds on the company’s expertise in modular solutions and its proven track record with Digital Waste Monitoring Platforms (DWMP). The solution will be deployed in Cascais, Portugal and Montana, Bulgaria demonstrating the trans-European nature of the project and its potential to transform waste management systems, helping municipalities reduce emissions, fuel consumption and congestion. By promoting smarter, data-driven practices, ROSE supports a more sustainable and efficient future for urban environments.