project
Transport accounts for nearly 25% of Europe’s greenhouse gas emissions and remains the top source of urban air pollution.
To make cities cleaner and more livable, public transport must become more efficient and appealing. Digital Twins (DTs) offer a new way forward. By creating real-time digital replicas of Urban Traction Electrification Systems (UTESs) and Public Transport Vehicles (PTVs), cities can monitor energy use, predict failures, and optimize performance. Powered by AI, machine learning, and big data, DTs enable smarter decisions, predictive maintenance, and a faster transition toward sustainable, connected urban mobility. This is the framework of the NeTS project, funded by the Ministry of Universities and Research (MUR) through the PRIN 2022 programme.
project develops direct current (DC) smart grids for urban transportation systems
Designing and developing a Digital Twin of urban transport electrification systems, enabling real-time simulation and monitoring of network behavior
Engineering affordable smart meters capable of monitoring both vehicles and the surrounding electrical network with high accuracy
Studying and optimizing the operation of transport electrical grids to improve efficiency, reliability, and scalability
public transport in making cities more liveable and reducing emissions
Map Electrical Networks
Detect Weaknesses & Opportunities
Boost Transport Reliability
Drive the Energy Transition
Questions or Ideas?
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