AI can balance cost and emissions in global transport systems
· Source: devdiscourse.com
In short
A new study published in the journal Energies presents an AI-driven decision framework that integrates life cycle assessment and total cost of ownership to optimize multimodal transport systems. Researchers from Gdynia Maritime University demonstrate how artificial intelligence can dynamically balance economic efficiency with environmental sustainability, identifying partial electrification as a practical transition strategy. The framework enables decision-makers to evaluate transport strategies under varying economic and environmental conditions, offering a pathway toward resilient and sustainable supply chains.
Read Original Article — Read the full article on the publisher’s site.
In the issue of week 18, 2026: Agentic AI and Physical Automation Drive Supply Chain Breakthroughs
Tags: logistics, sustainability, decarbonization, multimodal, electrification, supply chain