AI for Safer Roads Innovation Challenge is an initiative that explores how emerging technologies can transform the way road safety is understood and managed. By combining AI, large-scale mobility data, and geospatial analysis, the initiative seeks to uncover hidden patterns of risk and provide actionable insights for safer road systems. It supports the development of new tools and methodologies that can be applied across countries to improve decision-making and accelerate progress toward reducing road deaths and injuries.  

The initiative led by the Asian Development Bank in collaboration with the World Bank Development Impact Group, AI for Good, ITU, and supported by JFPR and HLTF.

This challenge asks: How might we use AI and mobility data to determine where speed limits are misaligned with real-world road conditions, supporting evidence-based speed management across Asia and the Pacific?

We are challenging data scientists, AI specialists, transport engineers, and policy innovators from ADB member countries to develop an analytical model that:

• Assesses whether posted speed limits align with Safe System principles
• Identifies road segments where limits are inconsistent with road function or vulnerable road user exposure
• Produces a spatial output, a map-based visualization, highlighting priority segments for review or intervention
• Is scalable and replicable across countries in Asia and the Pacific 
   

This is not about measuring whether drivers are speeding. It is about determining whether the current speed limit itself is appropriate for the road.

Read more at https://challenges.adb.org/en/challenges/ai4saferroads?lang=en