AI-Based Optimisation of Incentive Schemes for Sustainable Mobility
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. Customised incentives leveraging AI predictions aim to motivate citizens to adopt new options and overcome remaining barriers to more sustainable behaviour.
The project’s unique selling proposition stems from concurrently addressing a number of challenges: (i) semantically integrating heterogeneous data from multiple sources into a dynamic mobility data ecosystem; (ii) understanding the evolving data ecosystem by means of a shared mobility knowledge graph; (iii) graph-based AI algorithms to learn from user mobility behaviour and make predictions of future behaviour and propose suitable incentives, and (iv) modelling different user mobility choices based on various incentive models in order to promote the most sustainable mobility behaviour.
The results of the project will enable and incentivise Austrian citizens to find more sustainable mobility choices, increasing awareness and affecting public opinion to develop a more positive attitude towards those choices.
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Funded by the Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK) via the ICT of the Future