Research on the identification of channel congestion based on big data of navigation

DOI

10.2991/icemaess-18.2018.209How to use a DOI?

Keywords

AIS system, nautical data, channel congestion, DBSCAN, parallelization

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/icemaess-18.2018.209
ID  - Yan2018/11
ER  -