This project aims to utilise Artificial Intelligence (AI)-based video analytics and traffic conflict-based safety assessment for measuring the crash risks between heavy vehicles and vulnerable road users. This project will enable safety professionals to identify potential attributes at intersections that lead to increased heavy vehicle vulnerable road user conflicts. This project further aims to overcome the limitations of current safety assessment practices and improve road safety for all road users.
Funding / Grants
- National Heavy Vehicle Regulator (2024 - 2026)
Other Team Members
This research is not led by the MQ Collab. It is led by Prof Shimul (Md. Mazharul) Haque.