AI-Driven Speed Optimization for Mixed Traffic Networks Using Adaptive Learning
This study introduces an AI-based speed control mechanism leveraging deep reinforcement learning to enhance freeway traffic conditions under varying levels of autonomous vehicle integration to provide a foundation for future adaptive traffic management strategies in evolving transportation ecosystems.