Issue |
MATEC Web Conf.
Volume 296, 2019
2019 7th International Conference on Traffic and Logistic Engineering (ICTLE 2019)
|
|
---|---|---|
Article Number | 01001 | |
Number of page(s) | 5 | |
Section | Transportation Management | |
DOI | https://doi.org/10.1051/matecconf/201929601001 | |
Published online | 22 October 2019 |
Analysis of Black Spot of Traffic Accident in Wuhan Port
1 Hubei Provincial Key Laboratory of Inland navigation technique Wuhan 430063, China
2 School of Navigation, Wuhan University of Technology, Wuhan 430063, China
a Corresponding author: 2998609852@qq.com
The proposal to build the “Yangtze River Golden Waterway” strategy has enabled the shipbuilding volume of the Yangtze River trunk to grow rapidly. With the increase of ship traffic flow, the Yangtze River water traffic safety is facing severe challenges. This paper draws on the road traffic black spots and existing research methods of water traffic accidents and the definition of water traffic black spots. The DBSCAN algorithm and the accident-level weighted average method are used to establish the blackpoint identification model for waterborne traffic. The model is applied to the Yangtze River mid-stream Wuhan Port 2013-2017 water traffic safety accident as an example. Ten black spots and corresponding boundaries are identified. The black point analysis method used in this paper can effectively quantitatively analyze the spatial distribution and characteristics of water traffic black spots, which can provide a new theoretical basis for ensuring the safety of water traffic.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.