AI-Driven Traffic Management for Large-Scale Mixed Traffic Optimization

This ArXiv paper likely presents a novel approach to optimizing traffic flow using reinforcement learning in a complex, mixed traffic environment. The multi-objective aspect suggests a focus on balancing multiple goals, such as efficiency, safety, and reduced congestion.

• •Applies reinforcement learning to manage mixed traffic environments.
• •Employs a multi-objective approach, implying consideration of multiple performance metrics.
• •Potentially addresses challenges of large-scale traffic control.