Cross at red light? – Game Theory in traffic interaction and the impact of autonomously driving vehicles | with Jason Thompson

In this episode, Jason Thompson explains how Game Theory can help understand interactions on the roads and in traffic. We discuss agent-based-modelling and its application to analysing the behaviour of road users in traffic intersection. Jason gives examples on ‘different games’ at traffic intersections and compares the game induced by traffic regulations with the one originating from varying powers of the road users (e.g. truck vs cyclist). We also discuss how such interactions will change with the introduction and increase of autonomously driving vehicles. Jason Thompson is associate professor at University of Melbourne School of Design and School of Medicine. His interest, among other, is focused on the translation of research into practice across the areas of transportation, heavy-vehicle safety, and health system design.

Om Podcasten

In Game Changer, the podcast by TWS Partners, we want to share our enthusiasm and passion for game theory and its applications. We invite guests from business and academia to discuss how they use the power of game theory in their profession to make a difference – and to learn some fun anecdotes, useful facts and valuable insights along the way. Join us on this journey, and find out that game theory is much more than a topic for ivory tower discussions.