Azerbaijani Expert Led AI Transport Research Project
Alish Ismayilov is guiding an international initiative to integrate artificial intelligence into public transport.
Updated on Sept. 28, 2026 in Artificial Intelligence
Alish Ismayilov, representing Azerbaijan at the Ministry of Digital Development and Transport, has taken the lead on an International Transport Forum research project. The initiative focuses on utilizing artificial intelligence to enhance policy and operational outcomes for transport agencies.
Why it matters
The project aims to modernize public infrastructure by evaluating how AI can improve agency efficiency and service delivery. It provides a global platform for experts to share knowledge on the specific challenges and opportunities that emerging technology poses for the transport sector.
The project brings together approximately 40 experts from 20 countries to analyze artificial intelligence in public transport agency operations. The research mandate is designed to improve administrative policy and operational outcomes.
The players
Alish Ismayilov
He is an employee of Azerbaijan's Ministry of Digital Development and Transport and a representative on the Transport Research Committee.
International Transport Forum
This intergovernmental organization serves as a policy think tank for transport and hosts the 2026-2027 Work Programme.
The details
Participants are conducting an exchange of views regarding AI research areas and outcomes to identify common best practices. The group assesses experiences from diverse international jurisdictions to determine how automated systems can refine public transport operations.
Timeline
The International Transport Forum Work Programme runs through 2026-2027.
The Big Picture
The project operates as a formal component of the International Transport Forum's 2026-2027 Work Programme. This effort aligns with global initiatives to integrate advanced digital governance into international transport frameworks.
The findings from this project will eventually shape how public transit agencies adopt AI tools to optimize schedules and maintenance. Travelers may see improved service reliability as transport authorities implement these standardized international policy recommendations.
The takeaway
Global cooperation remains essential for developing a unified framework for AI in public services. Agencies that align with these international research standards are better positioned to mitigate operational risks while leveraging new technology.
Further reading
For more information on how machine learning is shaping international policy, visit the Artificial Intelligence section.
