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.
New Directions for Data-Driven Transport Safety
Corporate Partnership Board Report, Policy Insights,
22 May 2019
- Develop standards and platforms for the collection and sharing of safety-critical vehicle data.
- Ensure privacy in the use of safety-critical data.
- Refine the applications of surrogate traffic safety metrics.
- Harness Big Data for road safety but beware of biases.
- Review training needs for road safety professionals.
- Empower transport users and workers through mechanisms to report safety concerns.
- Make safety-critical vehicle data available for telematics applications.
- Find ways to integrate smartphones into Cooperative-ITS to benefit all users.
- Improve and link police and hospital data on road crash injuries.
- Prevent, detect and signal driver distractions.
- Revise trigger mechanisms for automatic crash notification and event data recording.
- Share data to enforce limits on driving hours in the gig economy.
- Favour more accurate and relevant geo-spatial accuracy for safety applications.
- Update legal frameworks to account for ubiquitous sensing data and their use in improving safety.
Commercial Vehicle On-Board Safety Systems
Roundtable Report, Policy Insights,
24 January 2019
- Ensure international harmonisation of regulation for autonomous trucks.
- Use the flexibility within existing regulatory frameworks to accommodate vehicle automation technologies.
- Weigh the advantages, disadvantages and limits to stretching existing regulatory frameworks to cover safe vehicle automation.
- Consider data-led approaches for regulating vehicles with high automation levels. Consider government intervention to address labour issues if and where they arise.
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.
Managing the Transition to Driverless Road Freight Transport
Case-Specific Policy Analysis, Policy Insights,
30 May 2017
- Continue driverless truck pilot projects to test vehicles, network technology and communications protocols.
- Set international standards, road rules and vehicle regulations for self-driving trucks.
- Establish a temporary transition advisory board for the trucking industry.
- Consider a temporary permit system to manage the speed of adoption and to support a just transition for displaced drivers, while ensuring fair access to markets.