Position prediction system based on spatio-temporal regularity of object mobility

作者：

Highlights：

• An effective position prediction algorithm for moving objects is proposed.

• The algorithm focuses on both spatial and temporal dimensions of trajectory data.

• Three data filters are designed to remove redundant data and outliers.

• A hybrid C/S and B/S framework is introduced to implement the prediction system.

摘要

•An effective position prediction algorithm for moving objects is proposed.•The algorithm focuses on both spatial and temporal dimensions of trajectory data.•Three data filters are designed to remove redundant data and outliers.•A hybrid C/S and B/S framework is introduced to implement the prediction system.

论文关键词：

论文评审过程：Received 21 July 2017, Revised 11 February 2018, Accepted 12 February 2018, Available online 13 February 2018, Version of Record 28 February 2018.

论文官网地址：https://doi.org/10.1016/j.is.2018.02.004