The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303


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Today we are joined by Alexandre Bayen, Director of the Institute for Transportation Studies and Professor at UC Berkeley.In this episode, we discuss Alex’s background in machine learning, his current research in mixed-autonomy traffic, and the idea of swarming in terms of the impact just a few self-driving cars can have on traffic mobility. In the AWS re:Invent conference last year, Alex presented on the future of mixed-autonomy traffic and the two major revolutions he predicts will take place in the next 10-15 years. This includes model-free deep reinforcement learning techniques and end-to-end pixel learning. Looking ahead, Alex shares his take on the future of transportation systems and the potential for varying levels of automation in sub-communities.

The complete show notes can be found at

338 episodes