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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Körperschaft: International Transport Forum (GeistigeR SchöpferIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Paris OECD Publishing 2021
Schriftenreihe:ITF Roundtable Reports no.187
Schlagworte:
Online-Zugang:Volltext
Zusammenfassung: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
Beschreibung:1 Online-Ressource (36 Seiten) 21 x 28cm
ISBN:9789282155721
DOI:10.1787/04509d3f-en

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