Mixed Autonomy Traffic Simulation

该数据集包含了模拟的交通场景，涉及在多个交叉路口的混合自主驾驶情况，其中既有受控车辆也有非受控车辆。除了数据集本身，还提供了相关代码、模型、结果视频以及多种基准方法以便进行比较。这些场景涵盖了不同流入率和车辆配置的多尺度交通情况。该数据集的任务是交通控制优化。

This dataset contains simulated traffic scenarios with mixed autonomous driving configurations at multiple intersections, involving both controlled ego vehicles and uncontrolled vehicles. Apart from the dataset itself, supporting materials including relevant code, models, result demonstration videos, and multiple baseline methods are provided for comparative benchmarking. These scenarios cover multi-scale traffic conditions with varying inflow rates and vehicle configurations. The core task of this dataset is traffic control optimization.