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

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 (00:41), his current research in mixed-autonomy traffic (01:30), and the idea of swarming in terms of the impact just a few self-driving cars can have on traffic mobility (06:03). 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 (08:44). This includes model-free deep reinforcement learning techniques and end-to-end pixel learning (13:08). Looking ahead, Alex shares his take on the future of transportation systems and the potential for varying levels of automation in sub-communities (28:03).

The complete show notes can be found at twimlai.com/talk/303.