Predicting Vehicle Trajectories at Intersections using Advanced Machine Learning Techniques (SDSU-01-01)
收藏DataCite Commons2021-05-14 更新2024-07-13 收录
下载链接：
https://dataverse.vtti.vt.edu/citation?persistentId=doi:10.15787/VTT1/AKKZ6V
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资源简介：
Project Description: The goal of this project was to investigate the effectiveness of inverse reinforcement learning for predicting vehicle trajectories at intersections. Data Scope: Thirty minutes of vehicle trajectory data at three intersections from the Lankershim Boulevard Dataset (from the NGSIM dataset collection) was processed to obtain 6100 vehicle trajectories in csv format with each row corresponding to one vehicle trajectory. Data Specification: Please see file attached below.
提供机构：
VTTI
创建时间：
2021-05-14
