AI for Safer Roads Innovation Challenge

Can AI tell us where speed limits need to be updated to better protect road users?

Challenge Result

How can AI help set speed limits that fit the roads people actually use today?

This was the question behind the AI for Safer Roads: Safer Speeds Innovation Challenge 2026. At the Final Pitch Event on 28 October, four finalist teams, chosen from 46 teams across 15 countries, presented their AI-powered solutions to an international jury:

Each team had five minutes to pitch, followed by questions from jury members from TomTom, Esri, the World Bank, Agilysis Limited, and ADB. Solutions were assessed on methodology, scalability, data accuracy, usability, and how actionable their outputs are for road safety experts and government planners.
 
 

The challenge organizers thank all the finalist teams, jury members, and our partners: Asian Development Bank (ADB), World Bank Development Economics, International Telecommunication Union, AI for Good, the ADB Japan Fund for Prosperous and Resilient Asia and the Pacific (JFPR) and High-Level Technology Fund (HLTF), for helping advance data-driven road safety across Asia and the Pacific.

CONGRATULATIONS ALSO TO OUR OTHER FINALISTS

Team GauDT

(Nippon Koei Business Partners Ltd)

Team GauDT is passionate in using data science, AI, and machine learning to solve business and societal problems

 

Team members

Andy Wong

Kai Won Then 

Shem Lim

Muhammad Iskandar

Yukina Patil

Team SpeedTruth

(SpeedTruth)

Speed limits encode assumptions about roads. This model asks whether those assumptions still hold - using GPS probe data, road function, and vulnerable user exposure to score where limits have drifted from reality.

 

Team members

Hanyu Wang