Artificial Intelligence in Road Traffic Crash Prevention Roundtable
Artificial Intelligence in Proactive Road Infrastructure Safety Management
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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.Click here for Roundtable discussion papers, presentations and videos
Multimedia
This Roundtable determines the most relevant use cases for Artificial Intelligence (AI) in the prevention of crashes on the road network. It explores the possibility of computer vision to acquire relevant information and the capability of computer models to identify high-risk locations and situations. It offers recommendations to all relevant stakeholders to lift barriers to the development and the appropriate utilisation of life-saving AI solutions.
Summary and Conclusions
Summary and Conclusions
Artificial Intelligence in Proactive Road Infrastructure Safety Management
Roundtable Report, 15 December 2021
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.
Click here for Roundtable discussion papers, presentations and videos
Papers and presentations
Papers and presentations
The role of AI in the mapping of dangerous locations on the road network
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Presentation, slides, speech, 10 February 2021
International Transport Forum
The Accelerated and intelligent collection of RAP attributes
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Presentation, slides, speech, 10 February 2021
iRAP
Road Danger Prediction - Classic models, AI models and Data Challenges
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Presentation, slides, speech, 11 February 2021
Agilysis, UK
Probe Vehicle Data
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Presentation, slides, speech, 11 February 2021
National Road Traffic Data Portal NDW, NL
Using AI for Spatial Prediction of Driver Behaviour
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Presentation, slides, speech, 12 February 2021
National Technical University of Athens (NTUA)
Average Speeds and Road Safety in São Paulo
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Presentation, slides, speech, 12 February 2021
Cordial Institute, Brazil
