Volume 40 Issue 5
Nov.  2022
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Article Navigation >  Journal of Transport Information and Safety  > 2022  >  40(5): 34-43
HE Yixiong, YU Deqing, LIU Xiao, WANG Feng, MOU Junmin. A Method of Risk Identification and Decision-making Support for Ship Maneuvers at Chengshanjiao Waters Under Traffic Separation Scheme[J]. Journal of Transport Information and Safety, 2022, 40(5): 34-43. doi: 10.3963/j.jssn.1674-4861.2022.05.004
Citation: HE Yixiong, YU Deqing, LIU Xiao, WANG Feng, MOU Junmin. A Method of Risk Identification and Decision-making Support for Ship Maneuvers at Chengshanjiao Waters Under Traffic Separation Scheme[J]. Journal of Transport Information and Safety, 2022, 40(5): 34-43. doi: 10.3963/j.jssn.1674-4861.2022.05.004
shu

A Method of Risk Identification and Decision-making Support for Ship Maneuvers at Chengshanjiao Waters Under Traffic Separation Scheme

doi: 10.3963/j.jssn.1674-4861.2022.05.004
  • 1.

    School of Navigation, Wuhan University of Technology, Wuhan 430063, China

  • 2.

    Hubei Key Laboratory of Inland Shipping Technology, Wuhan University of Technology, Wuhan 430063, China

  • Received Date: 2022-03-29
    Available Online: 2022-12-05
    Abstract
  • Simulation of environment, risk identification, collision avoidance and decision-making support for ship maneuvers are studied in order to counteract the high risk associated with shipping at Chengshanjiao waters under traffic separation scheme(TSS). The shipping environment of the Chengshanjiao waters is analyzed and digitalized to develop a static nautical environment model, and the dynamic traffic is investigated to set up a digitalized shipping simulation system. A method for risk identification is proposed based on the positions of ships and a collision risk model considering both space and time dimension. Good Seamanship and International Regulations for Preventing Collisions at Sea(COLREGS)are used to summarize the principles of ship maneuvers in different scenarios, and a ship maneuver meeting the principle of"minimum course altering"is produced based on the collision avoidance mechanism. A decision-making model adaptive to the random motions of target ships is developed using a rolling-window method and a feedback compensation method. Shipping traffic at the Chenshanjiao waters is simulated and multiple-ship scenarios are introduced. Study results show that: ①The proposed risk identification method using dead reckoning can identify the risk 1 168 s earlier than the regular methods at the Chengshanjiao waters when the own ship locating at(41 200 m, 38 000 m)heading to 000°with a speed of 12 n mile/h encounters with the target ship at(44 600 m, 62 300 m)heading to 210° with a speed of 12 n mile/h. ②Under a simulated multiple-ship scenario, the own ship can avoid collisions with target ships by altering to the starboard 17° at 245 s, resuming to sail at 617 s, altering to the starboard 11° at 2005 s, and resuming to sail at 2 405 s, which meets the principle of Good Seamanship. In conclusion, the proposed method can identify the collision risk earlier and support decision-making on ship maneuvers better than other methods at the Chenshanjiao waters, which provides a theoretical foundation for developing intelligent navigation systems on waters under TSS.

     

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