自动驾驶交通流轨迹数据

自动驾驶交通流轨迹数据集主要用于训练和验证自动驾驶系统的预测、规划与控制能力。该数据集包含真实的车辆、行人及骑车人等交通参与者的运动轨迹（如位置、速度、加速度等时空信息），可用于构建高精度交通行为模型，模拟复杂交互场景（如换道、交叉口博弈），并支持预测算法开发以提高系统安全性。

Autonomous Driving Traffic Flow Trajectory Dataset is primarily used for training and validating the prediction, planning and control capabilities of autonomous driving systems. This dataset contains motion trajectories of real-world traffic participants including vehicles, pedestrians and cyclists, with spatiotemporal information such as position, velocity, acceleration and other related metrics. It can be employed to construct high-precision traffic behavior models, simulate complex interactive scenarios such as lane changing and intersection game interactions, and support the development of prediction algorithms to improve system safety.