Highway Traffic Simulation Dataset

该数据集包含了大约5万个来自高速公路交通模拟的样本，涵盖了不同道路地图和交通密度下车辆间的各种互动和并道行为。此外，数据集还包含了基于不同交通密度和生成点的变化，这有助于研究在不同条件下作出决策的情况。该数据集的规模大约为5万个样本，覆盖了六种不同的道路地图。其任务是为自动驾驶和并道控制的多智能体强化学习研究提供支持。

This dataset contains approximately 50,000 samples derived from highway traffic simulations, covering a wide range of vehicle interactions and lane-changing behaviors under varying road map configurations and traffic densities. Additionally, the dataset incorporates variations based on different traffic densities and vehicle spawn points, which enables research on decision-making under diverse operational conditions. With around 50,000 samples across six distinct road map setups, this dataset is intended to support multi-agent reinforcement learning studies focused on autonomous driving and lane-change control.