Azerbaijani Expert Led New Transport AI Research Project
The research project examines how artificial intelligence can optimize public transport agency policy and outcomes.
Updated on Sept. 28, 2026 in Artificial Intelligence
Alish Ismayilov, representing Azerbaijan’s Ministry of Digital Development and Transport, has launched a new research project under the International Transport Forum. The effort aims to evaluate artificial intelligence applications in public transport agency operations.
Why it matters
The project seeks to establish a framework for integrating AI into public infrastructure management. It brings together cross-border expertise to address the operational challenges and opportunities inherent in modernizing transport systems.
The initiative involves 40 experts from 20 countries to benchmark AI integration strategies against current transport agency operations. The study operates as a collaborative exchange to define standardized research areas.
The players
Alish Ismayilov
An expert from the Azerbaijan Ministry of Digital Development and Transport who serves on the Transport Research Committee.
International Transport Forum
An intergovernmental organization acting as a policy think tank for transport that coordinates international research programs.
The details
The project uses a cross-country comparative methodology to identify how artificial intelligence can improve policy and efficiency in public transport. Experts analyze the systemic impact of AI by comparing operational data from diverse national transport agencies. This collaborative framework allows researchers to examine both technical deployment challenges and policy hurdles in applying machine learning to complex public transit networks.
Timeline
The International Transport Forum Work Programme covers the 2026-2027 period.
The Tech Race
This project is a component of the International Transport Forum's 2026-2027 Work Programme, which aligns with the body's ongoing push for global infrastructure standards. It represents a structured attempt to create a unified research agenda for AI deployment in public sectors.
The research will define the policies that influence how transit agencies adopt autonomous or data-driven systems. Results are intended to guide the operational standards for agencies over the next two years.
The takeaway
This project establishes a foundational knowledge base for how governments manage AI-driven transit services. Interested parties should watch for the upcoming publication of research areas and outcomes defined by the Transport Research Committee.
Further reading
For broader trends in machine learning deployment, explore our Artificial Intelligence section.
