This project aims to transform the way Nicosia, Cyprus, manages its household waste collection. Like many cities, Nicosia faces rising operational costs, missed collections and environmental impacts due to inefficient, outdated waste collection systems. Inspired by the need for cleaner, smarter and more sustainable cities, the project introduces a digital platform called AIOne, developed by Omnia Smart Technologies, to modernise the city’s approach to waste management.
Running from June to November 2025, the project supports the introduction of pay-as-you-throw (PAYT) policies through radio-frequency identification (RFID) bin tagging, real-time service tracking and an on-demand collection app. The main objective is to optimise waste collection routes using artificial intelligence (AI) and GPS tracking, which helps to reduce fuel consumption, missed collections and overall operational costs. The project also aims to make waste services more transparent and reliable for residents.
By integrating AIOne’s smart route planning and live tracking features, the system allows for dynamic decision-making, such as re-routing vehicles in real time or adjusting services based on local needs. The platform will also provide data insights to help city planners refine policies and support long-term environmental goals.
The project is a collaboration between Omnia Smart Technologies, the municipal waste collection teams of Nicosia and local households. Municipal staff and drivers will receive hands-on training to ensure a smooth transition to the new system. This six-month pilot will serve as a real-world testbed for smarter waste management, with the potential for scaling to other European cities. If successful, the initiative will deliver cleaner streets, lower emissions and better value for public services, making Nicosia a leader in modern, data-driven urban waste solutions.
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The project tackles inefficient waste collection, aiming to cut fuel use by 20–30% and operational costs by 15–25% through AI-driven route optimisation.
The project uses AI, GPS and RFID to optimise routes, track collections in real time and support PAYT, improving efficiency, accountability and sustainability.
Expected outcomes include 20–30% fuel savings, 15–25% cost reductions, fewer missed collections, improved service reliability and a scalable, data-driven waste management model for European cities.
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