The AI-CENTIVE project advances the state of the art in AI research to build and manage a complex mobility data ecosystem as enabler of intelligent applications. The core innovations of AI-CENTIVE aim to support and incentivise mobility behaviour towards choosing more sustainable options, thus reducing carbon emissions from the use of private cars and petrol-/diesel-based means of transportation.
Actionable datasets on mobility choices and options are currently fragmented across data silos in different organisational 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 to explain how and why citizens make certain mobility choices, and to predict their future choices based on multidimensional context parameters such as the weather, the location and duration of upcoming events or the availabili ty of environmentally friendly options.
AI-CENTIVE will produce customised incentives leveraging AI predictions aimed to motivate citizens to adopt those new options and overcome remaining barriers to more sustainable behaviour such as the need to sign up for a new service or the perceived convenience of travelling “as we have always done”.