Artificial Intelligence in Proactive Road Infrastructure Safety Management Summary and Conclusions
This report examines and determines the most relevant cases for artificial intelligence (AI) use in a transport planning context for crash prevention on an entire road network. It explores the possibility of using computer vision to acquire relevant information and the capability of computer models...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Paris :
OECD Publishing
2021.
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| Colección: | ITF Roundtable Reports,
no.187. |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009704711706719 |
| Sumario: | This report examines and determines the most relevant cases for artificial intelligence (AI) use in a transport planning context for crash prevention on an entire road network. It explores the possibility of using computer vision to acquire relevant information and the capability of computer models to map high-risk locations. It offers recommendations to stakeholders on the development and appropriate use of life-saving AI solutions. |
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| Descripción Física: | 1 online resource (36 p. ) |
| ISBN: | 9789282155721 |
