Intelligent and cooperative transportation systems, based on traffic modeling, distributed and interactive traffic management and optimal decision-making, are among our fields of application.

The collaborative exploitation of distributed information between (semi) autonomous vehicles will promote significant progress in terms of safety and traffic. Also concerned are interconnected cyber-physical systems, which require the development of solutions for optimal distributed decision-making in a context of uncertainty. More generally, intelligent urbanization by integrating distributed sensor information sources for land-use planning, resource management, transport and mobility.

The success of AI in transport and mobility largely depends on the quality of driving situation data and the ability to process it.

Today, this labeling has to be done manually, which means that the desired performance cannot be achieved quickly. There is therefore a lack of available expertise and large-scale experimentation. What's more, private players are finding it difficult to set up projects in collaboration with researchers. A medium-term partnership scheme has been launched by the DATAIA Institute. The Industrial Affiliation Program, in fact, aims to promote collaboration between academia and industry by fostering contact and exchanges between them.