Response to the discussion by Montewka Jaku, Gil Mateusz and Wróbel Krzysztof on the article by Zhang & Meng entitled “Probabilistic ship domain with applications to ship collision risk assessment [Ocean Eng. 186 (2019) 106130]

Abstract This note aims to address the concerns and confusions raised by Jakub et al. (2020) on the article of Zhang and Meng published in Ocean Engineering in 2019. Zhang and Meng (2019) mainly proposed the probabilistic ship domain to capture the diverse navigational behaviors of captains based on the big AIS data with less emphasies on how to assess ship collision risk using the probabilistic ship domain. To achieve of the aim, we first examine two concepts of ideal ship domain and practical ship domain. We proceed to investigate the relationship between ship domain and ship collision risk using field data from restricted water in both Singapore strait and fairway. We finally discuss the onboard collision detection by using the probabilistic ship domain incorporating with the Closest Point of Approach (CPA). This note not only clarifies some confusions or misunderstandings of the applicaion of probabilistic ship domain for ship collision risk assessment bust also exhibits the values and merits of the probabilistic ship domain.

[1]  Xin Wang,et al.  The ship maneuverability based collision avoidance dynamic support system in close-quarters situation , 2017 .

[2]  Qiang Meng,et al.  How do ships pass through L-shaped turnings in the Singapore strait? , 2019, Ocean Engineering.

[3]  Liujiang Kang,et al.  Determination of Minimum Distance to Obstacle Avoidance in the Singapore Strait , 2018, Transportation Research Record: Journal of the Transportation Research Board.

[4]  Liujiang Kang,et al.  Fundamental diagram of ship traffic in the Singapore Strait , 2018 .

[5]  T. Fwa,et al.  Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters , 2017, Transportation Research Part E: Logistics and Transportation Review.

[6]  Shan Xue,et al.  Ship Collision Frequency Estimation in Port Fairways: A Case Study , 2015 .

[7]  Rafal Szlapczynski,et al.  Review of ship safety domains: Models and applications , 2017 .

[8]  Zhaoyang Lu,et al.  Maritime simulator based determination of minimum DCPA and TCPA in head-on ship-to-ship collision avoidance in confined waters , 2019, Transportmetrica A: Transport Science.

[9]  Toke Koldborg Jensen,et al.  Empirical Ship Domain based on AIS Data , 2013, Journal of Navigation.

[10]  Zu-wen Wang,et al.  A Unified Analytical Framework for Ship Domains , 2009, Journal of Navigation.

[11]  Qiang Meng,et al.  Probabilistic ship domain with applications to ship collision risk assessment , 2019, Ocean Engineering.

[12]  Qiang Meng,et al.  A novel ship trajectory reconstruction approach using AIS data , 2018, Ocean Engineering.

[13]  Zbigniew Pietrzykowski,et al.  The Ship Domain : A Criterion of Navigational Safety Assessment in an Open Sea Area , 2009 .

[14]  Wu Zhao-lin,et al.  Comments on Ship Domains , 1993, Journal of Navigation.

[15]  Massimo Figari,et al.  A COLREG-Compliant Ship Collision Avoidance Algorithm , 2019, 2019 18th European Control Conference (ECC).

[16]  Elisabeth M. Goodwin,et al.  A Statistical Study of Ship Domains , 1973, Journal of Navigation.

[17]  P. V. Davis,et al.  A Computer Simulation of Marine Traffic Using Domains and Arenas , 1980, Journal of Navigation.