基于中国交通事故深度调查（CIDAS）的仿真重建数据集

仿真重建数据基于事故重建及数字化事故工况构建，以100hz0.01s时间戳构建了事故前5s的预碰撞场景数据，其中包含了坐标信息、速度信息、加速度信息等车辆运动学数据，含道路线性、标志标线、车道线及固定物等静态信息，该数据可作为仿真测试用例的核心来源，可用于ADAS/ADS安全功能需求、效能验证和性能测试、主被动一体化等研究。

The simulation reconstruction data is developed based on accident reconstruction and digitalized accident operating scenarios. With a timestamp interval of 0.01s (100Hz), it generates pre-crash scene data covering the 5 seconds prior to the accident. The data includes vehicle kinematic data such as coordinate information, velocity, and acceleration, as well as static information including road alignments, traffic signs and markings, lane lines, and fixed objects. This dataset can serve as the core source for simulation test cases, and can be utilized in researches including ADAS/ADS safety function requirement definition, effectiveness verification, performance testing, and integrated active and passive safety studies.