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轨迹数据的记录与处理关键技术研究

徐选清 蒲慧龙 姚周祥

智能城市2025,Vol.11Issue(2):19-22,4.
智能城市2025,Vol.11Issue(2):19-22,4.DOI:10.19301/j.cnki.zncs.2025.02.005

轨迹数据的记录与处理关键技术研究

Research on key technologies of recording and processing trajectory data

徐选清 1蒲慧龙 1姚周祥1

作者信息

  • 1. 四川省公路规划勘察设计研究院有限公司,四川 成都 610041
  • 折叠

摘要

Abstract

In the process of trajectory data recording,the geodetic height was converted to normal height with the help of the EGM2008 geoid model.In the process of trajectory data thinning,an improved spatiotemporal clustering algorithm was proposed to thin the trajectory data.In the process of trajectory data display,the trajectory is displayed and played back by using flow arrows and motion icons,so as to achieve accurate recording and rapid display of trajectory data.

关键词

轨迹数据/高程异常/道格拉斯-普克/时空聚类

Key words

trajectory data/height anomaly/Douglas-Peukcer/spatial-temporal clustering

分类

计算机与自动化

引用本文复制引用

徐选清,蒲慧龙,姚周祥..轨迹数据的记录与处理关键技术研究[J].智能城市,2025,11(2):19-22,4.

智能城市

2096-1936

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