Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Probabilistic quantification of ship collision risk considering trajectory uncertainties

Authors
Park, J.Han, J.Kim, J.Son, N.-S.
Issue Date
2016
Publisher
Elsevier B.V.
Keywords
Collision probability; maritime safety; probability flow; trajectory prediction
Citation
IFAC-PapersOnLine, v.49, no.23, pp 109 - 114
Pages
6
Journal Title
IFAC-PapersOnLine
Volume
49
Number
23
Start Page
109
End Page
114
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8582
DOI
10.1016/j.ifacol.2016.10.329
ISSN
2405-8963
Abstract
This paper presents the probabilistic quantification of collision risk for surface ships to safely navigate in ocean environments. A semi-analytical approach is proposed which allows an accurate and fast evaluation of collision probability considering time-varying trajectory uncertainties of both the navigating vehicle and the other ships. For efficient computation, the collision probability is separated into diffusion and drift components based on the concept of probability flow, and these two probability components are combined in order to obtain the instantaneous collision probability (ICP). To demonstrate the validity of the proposed approach, numerical simulations were performed for marine traffic scenarios and the feasibility was assessed by field experiment data obtained in a real-sea environment. ? 2016
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Son, Nam Sun photo

Son, Nam Sun
해양공공디지털연구본부
Read more

Altmetrics

Total Views & Downloads

BROWSE