Road traffic injuries remain one of the leading causes of death globally, particularly in low- and middle-income countries where infrastructure, speed management systems, and urban planning often struggle to keep pace with rapid development and population growth. Across Asia and the Pacific, governments and development institutions are increasingly seeking data-driven approaches to improve road safety and reduce preventable deaths.

To address this urgent challenge, Asian Development Bank has launched the AI for Safer Roads Innovation Challenge 2026, an international innovation competition designed to harness artificial intelligence, mobility data, and geospatial analysis to improve road safety systems across the region.

The initiative is being implemented in collaboration with the World Bank Development Impact Group, AI for Good, and International Telecommunication Union, with support from JFPR and HLTF.

The challenge invites data scientists, AI specialists, transport engineers, policy innovators, researchers, and multidisciplinary teams from ADB member countries to develop innovative AI-powered models capable of identifying where speed limits may not align with real-world road conditions and safety needs.

About the AI for Safer Roads Innovation Challenge

The AI for Safer Roads Innovation Challenge aims to explore how emerging technologies can transform the way governments and institutions understand and manage road safety risks.

By combining:

Artificial Intelligence (AI)
Large-scale mobility datasets
GPS probe data
Geospatial analysis
Machine learning tools
Road network information
Street-level imagery

the challenge seeks to uncover hidden risk patterns and generate practical solutions that can help policymakers make evidence-based decisions on road safety interventions.

Unlike traditional traffic monitoring systems that focus on whether drivers exceed speed limits, this challenge specifically asks participants to determine whether the posted speed limits themselves are appropriate for the actual road environment.

Core Challenge Question

Participants are expected to answer the following central question:

How might AI and mobility data be used to determine where speed limits are misaligned with real-world road conditions, thereby supporting evidence-based speed management across Asia and the Pacific?

This focus aligns with global Safe System principles, which emphasize designing transport systems that reduce the likelihood of fatal and serious injuries.

Objectives of the Competition

The competition aims to support the development of analytical tools and scalable methodologies that can:

Assess whether posted speed limits align with Safe System principles
Detect road segments where current speed limits may increase risk for vulnerable road users
Generate spatial outputs and geospatial visualizations
Help governments prioritize safety interventions
Support scalable, data-driven transport policy decisions
Improve evidence-based road safety management

Who Should Apply?

ADB is encouraging participation from experts and innovators with backgrounds in:

Artificial Intelligence
Data Science
Transport Engineering
Urban Planning
Geospatial Analysis
Public Policy
Machine Learning
Mobility Analytics
Road Safety Research

Teams can consist of:

Individual participants
Small multidisciplinary teams
Groups of up to five people

The competition encourages collaborative problem-solving that combines technical expertise with policy understanding.

Key Features Required in Submitted Solutions

Participants must design analytical models capable of performing several critical functions.

1. Safe Speed Assessment

Teams should develop methodologies that assess whether posted speed limits are appropriate based on:

Road function
Operating speeds
Land use patterns
Traffic intensity
Urban or rural classifications

The objective is to evaluate whether speed limits support safe mobility for all road users.

2. Risk Identification

Solutions should identify road segments where current speed limits may expose vulnerable users to elevated risks.

This includes areas affecting:

Pedestrians
Cyclists
Powered two-wheeler users
Communities near schools or markets

Participants are encouraged to use AI and data analysis techniques to uncover safety vulnerabilities not immediately visible through conventional assessments.

3. Policy-Ready Outputs

One of the most important aspects of the challenge is the production of practical outputs governments can use directly.

Solutions should therefore generate:

A Speed Safety Score
Geospatial visualizations
Interactive mapping outputs
Priority intervention recommendations

These outputs should support policymakers in identifying high-risk road segments for review or redesign.

Datasets Provided to Participants

Registered participants who agree to the Non-Disclosure Agreement (NDA) will receive access to anonymized and aggregated datasets.

Available Datasets Include:

GPS Probe Data

This dataset includes:

Operating speeds
85th percentile speeds
Speed distributions
Posted speed limits
Traffic intensity indicators

Road Network Data

Participants will also receive road infrastructure data such as:

Functional road classifications
Urban/rural segmentation
Intersection density
Road segment lengths

Mapillary Street-Level Imagery

Street-level imagery datasets will provide:

Crowdsourced road images
Machine-learning identified road features
Road sign information

Optional Contextual Layers

Additional contextual datasets may include:

Population density
Land use patterns
School proximity indicators
Market proximity
Powered two-wheeler indicators

These datasets are intended to support comprehensive AI-driven analysis.

Timeline of the Competition

Application Phase

Deadline: 25 June 2026

Participants must submit:

AI analytical models
Geospatial analyses
Supporting documentation

before the deadline.

Review Phase

July 2026

Expert reviewers will evaluate all submissions.

The top five solutions will be shortlisted and officially announced in September 2026.

Refinement Phase

September 2026

Shortlisted teams will:

Build visualizations on ADB’s GIS platform
Refine their solutions
Incorporate technical feedback from reviewers and experts

Final Pitch Phase

October 2026

Finalists will present their solutions before a high-level jury panel.

This stage provides teams with the opportunity to showcase the practical impact and scalability of their innovation.

Why This Challenge Matters

Road crashes claim millions of lives globally every year, with vulnerable road users disproportionately affected.

Many existing road safety systems rely on outdated methods or incomplete data when determining appropriate speed limits. By integrating AI, mobility analytics, and geospatial intelligence, this initiative seeks to modernize road safety decision-making.

The challenge contributes to broader goals including:

Safer urban mobility
Sustainable transportation systems
Evidence-based policymaking
Reduced road fatalities
Improved infrastructure planning
Data-driven governance

It also demonstrates the growing role of AI in solving complex public-sector and development challenges.

Benefits of Participating

Participants in the AI for Safer Roads Innovation Challenge can gain several advantages:

International visibility
Exposure to global development institutions
Networking with leading AI and transport experts
Opportunity to contribute to road safety innovation
Potential integration into regional policy discussions
Experience working with large-scale mobility and geospatial datasets
Recognition from ADB and international partners

Shortlisted teams will also have the opportunity to refine and showcase their solutions on ADB’s GIS platform.

Application Deadline

The deadline to submit solutions is:

25 June 2026

Applicants are encouraged to register and begin working with the datasets as early as possible.

Official Website

For full details and registration, visit:
ADB Challenges Official Platform

Apply here

Learn More

For more information about this opportunity, Click here
More global Competition opportunities for youth, visit the OFY website: Click here

ADB AI for Safer Roads Innovation Challenge 2026: Call for AI Experts, Data Scientists, and Transport Innovators Across Asia and the Pacific @Unknown