AI-Based Optimisation of Incentive Schemes for Sustainable Mobility

The project advances the state of art in AI research to build and manage a complex mobility data ecosystem as enabler of intelligent applications. The core innovations aim to support and incentivise mobility behaviour towards choosing more sustainable options, thus reducing carbon emissions. Actionable datasets on mobility choices are currently fragmented across data silos in different networks. The sharing and merging of these datasets via a common data ecosystem and its processing by Intelligent Systems - allowing for data sovereignty, security, and privacy - supports the training of AI models explaining how and why citizens make certain mobility choices and to predicting future choices.