Artificial Intelligence and Digital Solutions for Transport Infrastructure Resilience
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| Format: | Recurso digital |
| Langue: | anglais |
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2025
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| _version_ | 1866902202835009536 |
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| author | Loupos, Konstantinos |
| author_facet | Loupos, Konstantinos |
| contents | <p>This presentation, delivered by <a href="https://orcid.org/0000-0002-9162-7233" target="_blank" rel="noopener">Konstantinos Loupos</a> at the International Symposium “<em>Navigating the Future of Traffic Management</em>” in Athens (29 June - 3 July 2025), includes an overview of recent and state of the art technologies on Artificial Intelligence and digital solutions for transport infrastructure resilience. </p> <p><a href="https://inlecom.gr/" target="_blank" rel="noopener">INLECOM INNOVATION</a> is advancing the future of safe and resilient mobility through two flagship EU projects: <a href="https://evoroads-project.eu/" target="_blank" rel="noopener">EvoRoads</a> (Grant agreement ID: <a href="https://cordis.europa.eu/project/id/101147850" target="_blank" rel="noopener">101147850</a>) and <a href="https://www.ai4ccam.eu/" target="_blank" rel="noopener">AI4CCAM</a> (Grant agreement ID: <a href="https://cordis.europa.eu/project/id/101076911" target="_blank" rel="noopener">101076911</a>). In EvoRoads, INLECOM designs AI-powered tools to predict accident risks across road networks, enabling authorities to prioritize high-risk areas and make smarter budget allocations for road safety. In AI4CCAM, the company develops methodologies to evaluate the trustworthiness of Artificial Intelligence in connected and automated vehicles, ensuring transparency, robustness, and accountability in decision-making. Together, these initiatives highlight INLECOM’s commitment to delivering innovative, human-centric, and data-driven solutions that directly enhance road safety and public trust in transport technologies.</p> <p>Symposium official website: [<a href="https://traffic-management-symposium-2025.com/programme/session-2c-navigating-the-challenges-of-data-management-and-tms-assets/" target="_blank" rel="noopener">click here</a>]</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17333097 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Artificial Intelligence and Digital Solutions for Transport Infrastructure Resilience Loupos, Konstantinos Infrastructure resilience Transport infrastructure Digital transformation Artificial intelligence Automated vehicles AI trustworthiness Risk quantification Road safety analysis Decision support systems <p>This presentation, delivered by <a href="https://orcid.org/0000-0002-9162-7233" target="_blank" rel="noopener">Konstantinos Loupos</a> at the International Symposium “<em>Navigating the Future of Traffic Management</em>” in Athens (29 June - 3 July 2025), includes an overview of recent and state of the art technologies on Artificial Intelligence and digital solutions for transport infrastructure resilience. </p> <p><a href="https://inlecom.gr/" target="_blank" rel="noopener">INLECOM INNOVATION</a> is advancing the future of safe and resilient mobility through two flagship EU projects: <a href="https://evoroads-project.eu/" target="_blank" rel="noopener">EvoRoads</a> (Grant agreement ID: <a href="https://cordis.europa.eu/project/id/101147850" target="_blank" rel="noopener">101147850</a>) and <a href="https://www.ai4ccam.eu/" target="_blank" rel="noopener">AI4CCAM</a> (Grant agreement ID: <a href="https://cordis.europa.eu/project/id/101076911" target="_blank" rel="noopener">101076911</a>). In EvoRoads, INLECOM designs AI-powered tools to predict accident risks across road networks, enabling authorities to prioritize high-risk areas and make smarter budget allocations for road safety. In AI4CCAM, the company develops methodologies to evaluate the trustworthiness of Artificial Intelligence in connected and automated vehicles, ensuring transparency, robustness, and accountability in decision-making. Together, these initiatives highlight INLECOM’s commitment to delivering innovative, human-centric, and data-driven solutions that directly enhance road safety and public trust in transport technologies.</p> <p>Symposium official website: [<a href="https://traffic-management-symposium-2025.com/programme/session-2c-navigating-the-challenges-of-data-management-and-tms-assets/" target="_blank" rel="noopener">click here</a>]</p> |
| title | Artificial Intelligence and Digital Solutions for Transport Infrastructure Resilience |
| topic | Infrastructure resilience Transport infrastructure Digital transformation Artificial intelligence Automated vehicles AI trustworthiness Risk quantification Road safety analysis Decision support systems |
| url | https://doi.org/10.5281/zenodo.17333097 |