Personal Car Trajectories

该数据集是一个真实世界的数据集，包含了从2011年至2015年期间，来自俄亥俄州哥伦布市一家主要保险公司收集的10万辆个人汽车行驶轨迹。其中约95%的轨迹数据用于训练，剩余5%用于测试，测试数据集涵盖了92位驾驶员在5条不同路线上的行驶轨迹。整个数据集包含了10万辆个人汽车的行驶轨迹，其中4500条轨迹用于评估。该数据集的任务是进行轨迹分割和驾驶模式发现。

This is a real-world dataset containing 100,000 personal vehicle driving trajectories collected from a major insurance company in Columbus, Ohio, between 2011 and 2015. Approximately 95% of the trajectory data is used for model training, while the remaining 5% is reserved for testing. The test dataset covers driving trajectories from 92 drivers across 5 distinct routes. The entire dataset comprises 100,000 personal vehicle driving trajectories, with 4,500 of them allocated for evaluation. The primary tasks of this dataset are trajectory segmentation and driving pattern discovery.