Visual Analysis of Multi-factor Association on Inland Waterway Accident
- 10.2991/iceat-16.2017.24How to use a DOI?
- Shipping accident, Parallel coordinate, Visualization, clustering, Multiple factors
In order to explore the relationship between the multi factors of the inland river shipping accident and understand the law of the accident, the data of Yangtze River trunk line from recent years are collected and analyzed. First, we extracted the key factors of the shipping accidents and preprocessed the data; then, we studied the data clustering method, and displayed the clustering results by visually projecting them in parallel coordinates; finally, we used the human-computer interaction technology and the multi view collaborative visualization method to dig into the correlation among the factors which cause the inland shipping accidents. The results showed that, it provided a new method for maritime regulators to effectively analyze the law and cause mechanism of the inland shipping accidents, and avoid the risks of them.
- © 2017, 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 - Cong Lu AU - Shu Gao PY - 2016/05 DA - 2016/05 TI - Visual Analysis of Multi-factor Association on Inland Waterway Accident BT - Proceedings of the 2016 International Conference on Engineering and Advanced Technology PB - Atlantis Press SP - 110 EP - 115 SN - 2352-5401 UR - https://doi.org/10.2991/iceat-16.2017.24 DO - 10.2991/iceat-16.2017.24 ID - Lu2016/05 ER -