Effective dynamic algorithms for massive mark point aggregation display

Kunhui Lin, Yangbin Pan, Xiaoli Wang, Mengsang Wu, Shiyu Su
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Abstract

In the GIS applications, massive mark point display has become a very important problem. Especially for the application in vehicle networking, high-load vehicle position moving increases the difficulty of the display problem. Many existing efforts have been taken on proposing aggregation algorithms for map mark points. However, all these works suffer from efficiency and scalability problems when we employ them to the application in the vehicle networking. In order to solve the problem of high efficiency map display of high load vehicle location data, this paper proposes the dynamic aggregation algorithm based on the administrative unit and the dynamic aggregation algorithm for K-means service mark point based on the administrative unit. Experimental results show that these two algorithms can make the location data of the vehicle highly efficient display on the map, and can achieve smooth interaction and friendly user experience.
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大规模标记点聚合显示的有效动态算法
在GIS应用中,海量标记点显示已成为一个非常重要的问题。特别是在车联网应用中,高负载车辆位置移动增加了显示问题的难度。在地图标记点的聚合算法方面,已有很多研究。然而,这些工作在应用于车联网时存在效率和可扩展性问题。为了解决高负荷车辆位置数据的高效地图显示问题,本文提出了基于行政单元的动态聚合算法和基于行政单元的K-means服务标记点动态聚合算法。实验结果表明,这两种算法都能使车辆的位置数据高效地显示在地图上,并能实现流畅的交互和友好的用户体验。
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