Scalable Multiagent Driving Policies For Reducing Traffic Congestion

Understand

Traffic congestion is a major challenge in modern urban settings.

• The industry-wide development of autonomous and automated vehicles (AVs) motivates the question of how can AVs contribute to congestion reduction.
• Past research has shown that in small scale mixed traffic scenarios with both AVs and human-driven vehicles, a small fraction of AVs executing a controlled multiagent driving policy can mitigate congestion.
• In this paper, we scale up existing approaches and develop new multiagent driving policies for AVs in scenarios with greater complexity.