Research on the identification of channel congestion based on big data of navigation
- https://doi.org/10.2991/icemaess-18.2018.209How to use a DOI?
- AIS system, nautical data, channel congestion, DBSCAN, parallelization
The development of big data has always been the current and future direction of development. The emergence of large data technology has immediately attracted the attention of the navigation industry. It hopes to use large data technology to solve the problems in the mining of navigation information and to better master and use navigation data resources. It is in the background of this research that this topic comes into being. Based on a thorough understanding of the connotation of navigation data, this paper analyzes the problem of channel congestion in depth, explores the use of navigation data to solve the problem of channel congestion identification, and puts forward a channel congestion identification method of Spapa erkk-DSBCA. The feasibility and effectiveness of this method for channel congestion identification are verified by experiments.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Shijie Yan PY - 2018/11 DA - 2018/11 TI - Research on the identification of channel congestion based on big data of navigation BT - Proceedings of the 2018 5th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2018) PB - Atlantis Press SP - 1060 EP - 1064 SN - 2352-5398 UR - https://doi.org/10.2991/icemaess-18.2018.209 DO - https://doi.org/10.2991/icemaess-18.2018.209 ID - Yan2018/11 ER -