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

Objective

This project addresses a critical barrier to the wider adoption of electric vehicles (EVs): the availability and reliability of charging infrastructure along intercity corridors. Portugal, a frontrunner in Southern Europe, has achieved rapid growth in EV sales and charging facilities, yet long-distance travel still suffers from uneven station distribution, technical failures, waiting times, and range anxiety. These gaps are also present across Europe, showing the need for 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 costs, and support the European Green Deal. At the societal level, the project will improve accessibility, reduce range anxiety, and accelerate the transition to sustainable mobility in Europe.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-WIDERA-2025-TALENTS-01

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Coordinator

INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 207 183,12
Address
RUA DR ROBERTO FRIAS CAMPUS DA FEUP
4200 465 Porto
Portugal

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Region
Continente Norte Área Metropolitana do Porto
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Partners (2)