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AiMTT Knowledge Caspsules
In this collection of videos you will learn about data, AI and multimodal traffic management. Discover concise knowledge capsules on key AI concepts for transportation, alongside presentations that provide essential background on topics such as sensing technologies and traffic management data.
Knowledge Capsule #1: Application of Large Language Models in Transportation
Large Language Models (LLMs) are rapidly transforming many fields—but what exactly are they, and what can they mean for transportation? Mahsa Movaghar and Weiming Mai, both from TU Delft, explain how LLMs work, discuss their opportunities and limitations, and explore real-world applications ranging from traffic management to human mobility prediction.
Presentation #1: Sensing Technology and Data for Traffic Management
Anyone wanting to use AI for traffic management can draw on a wide range of data sources. But which sensing technologies generate that data? How do those technologies work? What are their strengths and limitations? Marcel Schoemakers and Ydo de Vries, NDW, answer these and many more questions in this engaging presentation.
Additional knowledge capsules and presentations will be released in the near future.