Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Im, Namkyun
and
Luong, Tu Nam
2019.
Potential risk ship domain as a danger criterion for real-time ship collision risk evaluation.
Ocean Engineering,
Vol. 194,
Issue. ,
p.
106610.
Wu, Xing
Roy, Uttara
Hamidi, Maryam
and
Craig, Brian N.
2020.
Estimate travel time of ships in narrow channel based on AIS data.
Ocean Engineering,
Vol. 202,
Issue. ,
p.
106790.
Weng, Jinxian
Liao, Shiguan
and
Yang, Dong
2020.
Methodology for Estimating Waterway Traffic Capacity at Shanghai Estuary of the Yangtze River.
Journal of Navigation,
Vol. 73,
Issue. 1,
p.
75.
Liu, Dongdong
and
Shi, Guoyou
2020.
Ship Collision Risk Assessment Based on Collision Detection Algorithm.
IEEE Access,
Vol. 8,
Issue. ,
p.
161969.
Du, Lei
Banda, Osiris A. Valdez
Huang, Yamin
Goerlandt, Floris
Kujala, Pentti
and
Zhang, Weibin
2021.
An empirical ship domain based on evasive maneuver and perceived collision risk.
Reliability Engineering & System Safety,
Vol. 213,
Issue. ,
p.
107752.
Hörteborn, Axel
and
Ringsberg, Jonas W.
2021.
A method for risk analysis of ship collisions with stationary infrastructure using AIS data and a ship manoeuvring simulator.
Ocean Engineering,
Vol. 235,
Issue. ,
p.
109396.
Pietrzykowski, Zbigniew
and
Wielgosz, Mirosław
2021.
Effective ship domain – Impact of ship size and speed.
Ocean Engineering,
Vol. 219,
Issue. ,
p.
108423.
Rawson, Andrew
and
Brito, Mario
2021.
Developing contextually aware ship domains using machine learning.
Journal of Navigation,
Vol. 74,
Issue. 3,
p.
515.
Feng, Zikun
Li, Yan
Liu, Zhao
and
Liu, Ryan Wen
2021.
Artificial Intelligence and Big Data Analytics for Smart Healthcare.
p.
145.
Rawson, Andrew
Brito, Mario
Sabeur, Zoheir
and
Tran-Thanh, Long
2021.
From Conventional to Machine Learning Methods for Maritime Risk Assessment.
TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation,
Vol. 15,
Issue. 4,
p.
757.
Gao, Da-wei
Zhu, Yong-sheng
Zhang, Jin-fen
He, Yan-kang
Yan, Ke
and
Yan, Bo-ran
2021.
A novel MP-LSTM method for ship trajectory prediction based on AIS data.
Ocean Engineering,
Vol. 228,
Issue. ,
p.
108956.
Gil, Mateusz
2021.
A concept of critical safety area applicable for an obstacle-avoidance process for manned and autonomous ships.
Reliability Engineering & System Safety,
Vol. 214,
Issue. ,
p.
107806.
Lee, Hee-Jin
Furukawa, Yoshitaka
and
Park, Deuk-Jin
2021.
Seafarers’ awareness-based domain modelling in restricted areas.
Journal of Navigation,
Vol. 74,
Issue. 5,
p.
1172.
Cai, Mingyou
Zhang, Jinfen
Zhang, Di
Yuan, Xiaoli
and
Soares, C. Guedes
2021.
Collision risk analysis on ferry ships in Jiangsu Section of the Yangtze River based on AIS data.
Reliability Engineering & System Safety,
Vol. 215,
Issue. ,
p.
107901.
Qi, Le
Ji, Yuanyuan
Balling, Robert
and
Xu, Wenhai
2021.
A cellular automaton-based model of ship traffic flow in busy waterways.
Journal of Navigation,
Vol. 74,
Issue. 3,
p.
605.
Liu, Hu
Xu, Xueqian
Chen, Xinqiang
Li, Chaofeng
and
Wang, Meilin
2022.
Real-Time Ship Tracking under Challenges of Scale Variation and Different Visibility Weather Conditions.
Journal of Marine Science and Engineering,
Vol. 10,
Issue. 3,
p.
444.
Lee, Hee-Jin
and
Park, Deuk-Jin
2022.
SASD Modeling Using an ANFIS to Prevent the Collision of MASS in Restricted Areas.
Journal of Marine Science and Engineering,
Vol. 10,
Issue. 7,
p.
961.
Lee, Hee-Jin
and
Furukawa, Yoshitaka
2022.
Timing of stand-on ship actions for cooperative collision avoidance under calm water condition.
Ocean Engineering,
Vol. 263,
Issue. ,
p.
112340.
Ji, Yuanyuan
Qi, Le
and
Balling, Robert
2022.
A dynamic adaptive grating algorithm for AIS-based ship trajectory compression.
Journal of Navigation,
Vol. 75,
Issue. 1,
p.
213.
Sepehri, Arash
Vandchali, Hadi Rezaei
Siddiqui, Atiq W.
and
Montewka, Jakub
2022.
The impact of shipping 4.0 on controlling shipping accidents: A systematic literature review.
Ocean Engineering,
Vol. 243,
Issue. ,
p.
110162.