CARLA Driving Simulator Traffic Setup

该数据集是在CARLA模拟器中创建的交通场景，包含了一条复杂的路线，多个参与者互动，其中包括多种类型的车辆与被测试的自动驾驶代理。该场景模拟了现实世界的交通状况，并包含了不同的道路结构，如交叉口和交汇点。此外，数据集还包括了驾驶得分指标和违规惩罚信息，这些信息用于评估在不同交通干扰条件下自动驾驶代理的表现。该数据集的规模涵盖了多条路线和不同的交通条件，其任务是评估自动驾驶代理的鲁棒性。

This dataset comprises traffic scenarios developed in the CARLA simulator, featuring complex routes and interactions among multiple participants including various vehicle types and the autonomous driving agents under test. These scenarios simulate real-world traffic conditions and incorporate diverse road structures such as intersections and merge points. Additionally, the dataset includes driving score metrics and violation penalty information, which are used to evaluate the performance of autonomous driving agents under varying traffic disturbance conditions. The dataset covers multiple routes and a broad range of traffic conditions, with its core task being to assess the robustness of autonomous driving agents.