BriefGPT.xyz
Jul, 2020
利用生成对抗模仿学习生成城市车辆轨迹
TrajGAIL: Generating Urban Trajectories using Generative Adversarial Imitation Learning
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Seongjin Choi, Jiwon Kim, Hwasoo Yeo
TL;DR
该研究提出了一种基于生成对抗性模型(TrajGAIL)的机器学习方法,使用生成建模方法学习城市车辆轨迹数据的潜在分布,从而能够生成与实际车辆轨迹相似的合成轨迹来解决数据稀疏性或数据隐私问题,并在模拟和现实数据集中得到显著的性能提升。
Abstract
Recently, there are an abundant amount of
urban vehicle trajectory
data that is collected in the urban road networks. Many previous researches use different algorithms, especially based on
machine learning
, to an
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