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Module 3 - AI in Transport

Abstract graphic featuring colorful circuit lines and nodesAbstract graphic featuring colorful circuit lines and nodes

1. What is described as the primary "evolution" of transport intelligence enabled by AI?(Required)
2. According to the module, what percentage of road traffic accidents is primarily caused by human error?(Required)
3. In the context of "The Data Challenge," why does most transport data remain underutilized?(Required)
4. How does AI specifically support sustainability in transport?(Required)
5. Which AI application in railway operations helps prevent costly breakdowns and improves safety by addressing issues before they occur?(Required)
6. In the Sofia Metro case study, what was a key "Lesson Learned" regarding the role of humans in AI systems?(Required)
7. Which competency is defined as "understanding what AI can and cannot do, when to trust it, and when to question it"?(Required)
8. Why should "Black box" AI systems be avoided in transport according to the module's strategies for integration?(Required)
9. What is the primary benefit of "Cross-Sectoral Integration" (e.g., linking Transport with Energy or Agriculture)?(Required)
10. According to the module's conclusions, what is the relationship between AI and professional judgment?(Required)
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