Artificial Intelligence in Transport Research

Abstract

Anton Galich’s presentation will focus on artificial intelligence in transport research. For this purpose, he will briefly discuss the rapid rise of AI and its potential use cases in the transport area as a short introduction before the main part of his talk in which he will outline how AI can help filling some gaps in transport research. More specifically, he will illustrate existing problems in the collection of data needed in transport research and highlight how AI can help overcoming these issues on the basis of two use cases that he is currently working on. The two use cases center on objection detection and image generation models.