Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion

Understand

Active Traffic Management strategies are often adopted in real-time to address such sudden flow breakdowns.

• When queuing is imminent, Speed Harmonization (SH), which adjusts speeds in upstream traffic to mitigate traffic showckwaves downstream, can be applied.
• However, because SH depends on driver awareness and compliance, it may not always be effective in mitigating congestion.
• The use of multiagent reinforcement learning for collaborative learning, is a promising solution to this challenge.