Achievements and future priorities of artificial intelligence in transport systems

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dc.contributor.authorPETROZZIELLO, Elodie
dc.contributor.authorMAROTTA, Alessandro
dc.contributor.authorSTĘPNIAK, Marcin
dc.contributor.authorCHEIMARIOTIS, Ilias
dc.contributor.authorLODI, Chiara
dc.date.accessioned2025-10-16T14:29:39Z
dc.date.available2025-10-16T14:29:39Z
dc.date.issued2025
dc.descriptionPublished online: 11 October 2025
dc.description(c) 2026
dc.description.abstractThis paper aims at defining future research priorities for artificial intelligence (AI) in transport systems. The point of the departure is the state of the art regarding the application of AI in transport combined with the EU policy needs and the assessment of the recent European projects. The paper presents an overview of the potential benefits that the deployment of AI has for transport. Special focus is put on results of European projects funded within Horizon 2020 Framework Programme. The main achievements of the research have shown that AI can help in the optimisation of applications within the transport means. It can also aid public authorities in improving the overall infrastructure thanks to data gathering and first screening. Further, the deployment of AI is a source of profitable opportunities for various sectors like automotive, software, waterborne, aviation, passenger and freight transport. The final aim of these projects is to boost efficiency, sustainability, and safety by having a human centric AI, aware of every situation it is facing and able of taking prompt decisions. The paper concludes by discussing selected cross-cutting concerns regarding the application of AI in the transport sector. They include definition of software updates for autonomous vehicles’ algorithms, the need for liability regimes and the issue of data scarcity.
dc.format.mimetypeapplication/pdf
dc.identifier.citationCiaran MCNALLY, Páraic CARROLL, Beatriz MARTINEZ-PASTOR, Bidisha GHOSH, Marina EFTHYMIOU and Nikolaos VALANTASIS-KANELLOS (eds), Transport transitions : advancing sustainable and inclusive mobility : Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland - Volume 6: Connected Mobility Ecosystems, Cham : Springer, 2025, Lecture notes in mobility, pp. 41-46, OnlineFirst
dc.identifier.doi10.1007/978-3-032-06763-0_6
dc.identifier.isbn9783032067623
dc.identifier.isbn9783032067630
dc.identifier.issn2196-5544
dc.identifier.issn2196-5552
dc.identifier.urihttps://hdl.handle.net/1814/93801
dc.language.isoen
dc.orcid.putcode1814/80750:194486103
dc.publisherSpringer
dc.relation.ispartofseries[Florence School of Regulation]
dc.relation.ispartofseries[Transport]
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.licenseAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial intelligence
dc.subjectResearch and innovation
dc.subjectInfrastructure
dc.subjectAutonomous vehicles
dc.titleAchievements and future priorities of artificial intelligence in transport systems
dc.typeContribution to book
dspace.entity.typePublication
person.identifier.orcid0009-0002-8465-5137
person.identifier.other54075
relation.isAuthorOfPublication9ab5d39c-640c-4d1f-9d31-dc671e4b8c87
relation.isAuthorOfPublication.latestForDiscovery9ab5d39c-640c-4d1f-9d31-dc671e4b8c87
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