Problem Statement

According to Stockholm Vatten och Avfall, garbage collection in Stockholm operates on weekly or biweekly schedules with predefined routes. However, static schedules fail to adapt to real-time waste levels, leading to overflowing bins, unsanitary conditions, and public dissatisfaction. Inefficient routes increase fuel costs, operational expenses, and carbon emissions. A dynamic, data-driven approach is needed to optimize waste collection and address these challenges effectively.

Proposed Solutions

The proposed solution involves using IoT sensors to hourly monitor waste levels, integrating cloud data storage and processing, utilizing route optimization algorithms to dynamically adjust collection schedules based on real-time waste level conditions, and applying data analytics and improve waste management policies for more efficient operations and reduced environmental impact​.

Target Audience

Target audiences are municipalities and waste management authorities

Outline

A fully functional prototype, featuring a real-time monitoring system that tracks waste levels via a user-friendly app dashboard, providing optimized collection routes displayed on a driver-friendly interface to streamline the collection process.