AI Frameworks for Decarbonizing Multimodal Transport Systems

Researchers from Gdynia Maritime University have developed an AI-driven framework to balance costs and emissions in global transport. By integrating life cycle assessments with total cost of ownership models, the system moves beyond static assumptions to account for fluctuating fuel prices and evolving carbon policies. The study highlights partial electrification as a practical transition strategy, focusing on high-impact segments like road pre-haulage. It emphasizes that the success of transport electrification depends heavily on the carbon intensity of the local energy grid and supportive carbon pricing policies.