IBM Selects Baha University Project to Develop AI Transport System
The project aims to reduce fleet downtime, fuel consumption, and carbon emissions.
IBM has selected Baha University for its 2025 Impact Accelerator cohort to develop an artificial intelligence framework aimed at improving coordination across transport and port fleets. The project aims to reduce fleet downtime, fuel consumption, and carbon emissions, aligning with Saudi Arabia’s Vision 2030 sustainability goals.
The framework, named CH-MARL, leverages artificial intelligence and cloud computing to enhance fleet utilisation, optimise logistics operations, and enable smoother transitions between simulation and live environments. It is designed to boost operational efficiency across transport networks and major logistical hubs while addressing environmental impacts linked to fuel use and emissions.
Baha University’s participation in the global IBM programme grants it access to advanced tools and technical expertise, positioning the project among a select group of technology-driven initiatives tackling sustainability challenges in transport and infrastructure.
