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INTERCITY-EVOPT: Driving the Green Transition: AI Framework for EV Corridor Charging

CORDIS · observation · Publication date unknown

r strategic, data-driven and policy-aligned solutions. The project will develop an integrated framework that combines Geographic Information Systems (GIS), Multi-Criteria Decision-Making (MCDM), and Artificial Intelligence (AI), including Machine Learning and Deep Reinforcement Learning (DRL). The approach will (i) collect and harmonise traffic, socio-economic, grid, and charging data; (ii) forecast charging demand using advanced statistical and AI models; (iii) integrate forecasts and spatial analyses into a DRL-based optimisation model that considers grid capacity, accessibility, and compliance with the EU Alternative Fuels Infrastructure Regulation (AFIR); and (iv) validate the framework in Portugal with academic and industry partners. Expected results include suitability maps, optimisation prototypes, and a roadmap with policy recommendations. Scientifically, the project will advance the state of the art by linking GIS, MCDM and AI in one decision-support system. At the same time, it will provide practical tools for operators and policymakers to optimise investments, reduce cos

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recordType

award

status

SIGNED

region

EU

value

207183.12

unit

EUR