Digital Twin of public mobility vehicles

Developing 3D models to improve performances
Thematic area: Digital society, Projects
Financing: IFAB call for projects
Enabling Technology: Advanced Modeling and Simulation, Artificial Intelligence, Digital Twin, Geographic Information Systems (GIS), Image recognition

Prometeia, together with DAT, has been developing state-of-the-art models for 3D vehicle reconstruction, dedicated to insurance companies and applied to claims management in order to reduce fraud. The main goal of the project is to develop new software and properly adapt instant-ngp, NVIDIA’s work derived from NERF (Neural Radiance Field), to 3D reconstruction of public transportation vehicles by combining different challenges such as weather, lights, exterior/interior and model inference time.


Creating Digital Twins of a vehicle by reconstructing its 3D appearance from images, with the goal of applying technology to the public transportation sector to keep track of vehicle history, improve the ability to better plan roads, parking, and manage traffic.

The initial challenge

Street accidents’ recreations are oftentimes not attendable and can easily lead to frauds. Through the creation of more dependable models of vehicles, those frauds can be avoided and the accidents can be better investigated.

The solution

After evaluating the state-of-art models for vehicles’ Digital Twins that are accessible as of now, a better model has been researched and experimented with. After creating this new model, it has been implemented in a software which, when given the data revolving around vehicles employed in public mobility, can design its 3D Digital Twin.


Having a set of libraries that can be applied to a real-life scenario allows to take into account all the end user’s necessities, spanning from the weather condition from the ability to access the models from a smartphone.

Moreover, this application can be easily scaled to other fields of interest, such as urban planning and the monitoring of vehicles, so that it can support digital transformation for public services.

The prototype that is created can also be expanded to other vehicles such as taxis or buses and easily updated to contain the history of damages that have occured to them.


For further information, please contact:

Sustainable Development Goals

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