Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach

@article{Zhai2022ConstructingTA,
  title={Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach},
  author={Deqing Zhai and Xiuju Fu and Xiaofeng Yin and Hai-Yan Xu and Wanbing Zhang and Ning Li},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.07945}
}
In this study, a probability density-based approach for constructing trajectories is proposed and validated through an typical use-case application: Estimated Time of Arrival (ETA) prediction given origin-destination pairs. The ETA prediction is based on physics and mathematical laws given by the extracted information of probability density-based trajectories constructed. The overall ETA prediction errors are about 0.106 days (i.e. 2.544 hours) on average with 0.549 days (i.e. 13.176 hours… 

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