Technology, Innovation
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.
Container Port Automation: Impacts and Implications
Case-Specific Policy Analysis, Policy Insights,
7 October 2021
- Put more focus on flexible labour arrangements.
- Better identify the costs and benefits of port automation projects.
- Stimulate social dialogue and co-operation between employers and workers on port automation.
- Address social costs of automation.
Information Sharing for Efficient Maritime Logistics
Case-Specific Policy Analysis, Policy Insights,
25 September 2018
- Support the emergence of open standards in maritime logistics.
- Ensure interoperability between public and private systems for the exchange of logistics information.
- Support ports in creating co-ordination platforms and Single Windows.
- Ensure that digitalisation in the maritime logistics chain occurs in a competitive environment.
- Closely monitor cyber security vulnerabilities in maritime logistics.
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.