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An empirical ship domain based on evasive maneuver and perceived collision risk

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Listed:
  • Du, Lei
  • Banda, Osiris A. Valdez
  • Huang, Yamin
  • Goerlandt, Floris
  • Kujala, Pentti
  • Zhang, Weibin

Abstract

This paper introduced a new ship domain concept and an analytical framework. The ship domain takes the point of the ship's first evasive maneuver as a basis and correlates it with the navigator-perceived collision risk level. The first evasive maneuver of a ship is detected based on the ship turning point identification and ship intention estimation. The available maneuvering margin (AMM) is utilized as a proxy to measure the perceived collision risk by the navigator. Interpreting the first evasive maneuver in terms of this AMM over a large sample of vessel encounters taken from automatic identification system (AIS) data finally enables an empirical estimation of the size of this ship domain. The method is applied to AIS data in the Northern Baltic Sea, and separate ship domains are constructed for the give-way and stand-on vessels with different maneuverability characteristics. Compared to the existing proximity-based ship domain, this ship domain explicitly incorporates the dynamic nature of the encounter process and the navigator's evasive maneuvers. Several advantages of this proposed ship domain concept and limitations of the presented modeling approach are discussed. Finally, possible future applications are explained, including waterway safety assessment and navigational decision support systems to reduce ship-ship collision risk.

Suggested Citation

  • Du, Lei & Banda, Osiris A. Valdez & Huang, Yamin & Goerlandt, Floris & Kujala, Pentti & Zhang, Weibin, 2021. "An empirical ship domain based on evasive maneuver and perceived collision risk," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:reensy:v:213:y:2021:i:c:s0951832021002829
    DOI: 10.1016/j.ress.2021.107752
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    References listed on IDEAS

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    1. Du, Lei & Goerlandt, Floris & Kujala, Pentti, 2020. "Review and analysis of methods for assessing maritime waterway risk based on non-accident critical events detected from AIS data," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
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    4. Kim, Do-Hoon, 2020. "Human factors influencing the ship operator's perceived risk in the last moment of collision encounter," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    5. Zhang, Mingyang & Montewka, Jakub & Manderbacka, Teemu & Kujala, Pentti & Hirdaris, Spyros, 2021. "A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    6. Montewka, Jakub & Hinz, Tomasz & Kujala, Pentti & Matusiak, Jerzy, 2010. "Probability modelling of vessel collisions," Reliability Engineering and System Safety, Elsevier, vol. 95(5), pages 573-589.
    7. Rong, H. & Teixeira, A.P. & Guedes Soares, C., 2021. "Spatial correlation analysis of near ship collision hotspots with local maritime traffic characteristics," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    8. Valdez Banda, Osiris A. & Kannos, Sirpa & Goerlandt, Floris & van Gelder, Pieter H.A.J.M. & Bergström, Martin & Kujala, Pentti, 2019. "A systemic hazard analysis and management process for the concept design phase of an autonomous vessel," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
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    8. Zhang, Jinfen & Liu, Jiongjiong & Hirdaris, Spyros & Zhang, Mingyang & Tian, Wuliu, 2023. "An interpretable knowledge-based decision support method for ship collision avoidance using AIS data," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    9. Li, Mengxia & Mou, Junmin & Chen, Pengfei & Rong, Hao & Chen, Linying & van Gelder, P.H.A.J.M., 2022. "Towards real-time ship collision risk analysis: An improved R-TCR model considering target ship motion uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    10. Gao, Dawei & Zhu, Yongsheng & Guedes Soares, C., 2023. "Uncertainty modelling and dynamic risk assessment for long-sequence AIS trajectory based on multivariate Gaussian Process," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    11. Mazurek, J. & Lu, L. & Krata, P. & Montewka, J. & Krata, H. & Kujala, P., 2022. "An updated method identifying collision-prone locations for ships. A case study for oil tankers navigating in the Gulf of Finland," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    12. Gil, Mateusz & Kozioł, Paweł & Wróbel, Krzysztof & Montewka, Jakub, 2022. "Know your safety indicator – A determination of merchant vessels Bow Crossing Range based on big data analytics," Reliability Engineering and System Safety, Elsevier, vol. 220(C).

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