Road
Artificial Intelligence in Proactive Road Infrastructure Safety Management
Roundtable Report, Policy Insights,
14 December 2021
- Develop a competitive market for the sharing and monetising of traffic and mobility data.
- Do not wait for real-time data before developing risk maps.
- Mandate the sharing of aggregate vehicle data.
- Learn from other fields and best practice for data sharing and privacy protection.
- Support research and innovation towards trusted and explainable AI.
- Align new tools with precise policy objectives.
- Develop new skills and digital infrastructure.
- Clarify regulatory frameworks for data protection and digital security.
- Design user-friendly risk-mapping tools.
Potential of Intelligent Transport Systems to Reduce Greenhouse Gas Emissions in Road Freight Transport
Presentation, slides, speech,
28 June 2018
Summary of the ITF Roundtable on Truck Automation and Platooning
Presentation, slides, speech,
27 June 2018
Safer Roads with Automated Vehicles?
Corporate Partnership Board Report, Policy Insights,
22 May 2018
- Reinforce the Safe System approach to ensure automated vehicles are used safely.
- Apply Vision Zero thinking to automated driving.
- Avoid safety performance being used to market competing automated vehicles.
- Carefully assess the safety impacts of systems that share driving tasks between humans and machines.
- Require reporting of safety-relevant data from automated vehicles.
- Develop and use a staged testing regime for automated vehicles.
- Establish comprehensive cybersecurity principles for automated driving.
- Ensure the functional isolation of safety-critical systems and that connectivity does not compromise cybersecurity or safety.
- Provide clear and targeted messaging of vehicle capabilities.