Automated Merging Control for Connected and Automated Vehicles (CAVs)

该数据集涉及到了根据泊松到达过程，具有随机初始速度的自动驾驶车辆（CAVs）到达预定控制区域时的合并问题。数据集提供了MPC-CBF控制器和强化学习（RL）设置的超级参数，确保了研究结果的可复现性。这是一个模拟了多车辆和控制场景的大规模数据集，其任务是基于强化学习对合并场景中的自动驾驶车辆进行控制。

This dataset addresses the merging problem of connected and automated vehicles (CAVs) with random initial speeds upon their arrival at a predefined control area following a Poisson arrival process. The dataset provides the hyperparameters for both MPC-CBF controllers and reinforcement learning (RL) setups, ensuring the reproducibility of research results. This is a large-scale dataset that simulates multi-vehicle and control scenarios, with the core task of controlling connected and automated vehicles in merging scenarios based on reinforcement learning.