论文标题
构建轨迹并预测长距离行进容器的估计到达时间：基于概率密度的扫描方法
Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach
论文作者
论文摘要
在这项研究中，提出了一种基于概率的构建轨迹的方法，并通过典型的用例应用程序进行了验证：给定来源预测对的估计到达时间（ETA）预测。 ETA预测基于构造的基于概率密度的轨迹的提取信息给出的物理和数学定律。总体ETA预测误差约为0.106天（即2.544小时），平均为0.549天（即13.176小时）标准偏差，而所提出的方法的准确度为92.08％，而新加坡和澳大利亚港口之间的总体轨迹值为0.959 R-Squared值。
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) standard deviation, and the proposed approach has an accuracy of 92.08% with 0.959 R-Squared value for overall trajectories between Singapore and Australia ports selected.
