A Comparative Assessment of Collision Risk of Manned and Unmanned Vessels

It is expected that the prototypes of unmanned merchant ships will be deployed in the next few years. However, there is no specific research on whether the introduction of unmanned ships will reduce the risk of ship collision accidents in which communication between vessels is critical. This work constitutes an attempt to bridge the gap identified above by applying the Hybrid Causal Logic (HCL) methodology to model general-level collision scenarios of unmanned ships. The HCL methodology has been selected for its proven applicability to risk assessments, even when empirical data may be insufficient. Collision scenarios involving unmanned ships have been created in which manned ships of the conventional collision scenario HCL model are replaced with unmanned ships. Then, collision scenarios capturing the interactions between a manned ship and an unmanned ship were modeled. By comparing the qualitative and quantitative results of the different scenarios, we can see that the introduction of unmanned ships may effectively reduce the occurrence of ship collision accidents.

[1]  Fred Moshary,et al.  Impact on lidar system parameters of polarization selection/tracking scheme to reduce daylight noise , 2005, SPIE Remote Sensing.

[2]  Mateusz Gil,et al.  Toward a Method Evaluating Control Actions in STPA-Based Model of Ship-Ship Collision Avoidance Process , 2019, Journal of Offshore Mechanics and Arctic Engineering.

[3]  Jakub Montewka,et al.  On a systematic perspective on risk for formal safety assessment (FSA) , 2014, Reliab. Eng. Syst. Saf..

[4]  Bing Wu,et al.  Autonomous decision-making scheme for multi-ship collision avoidance with iterative observation and inference , 2020 .

[5]  Ali Mosleh,et al.  Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents. Part 2: IDAC performance influencing factors model , 2007, Reliab. Eng. Syst. Saf..

[6]  Ørnulf Jan Rødseth,et al.  Risk Assessment for an Unmanned Merchant Ship , 2015 .

[7]  Jakub Montewka,et al.  System-theoretic approach to safety of remotely-controlled merchant vessel , 2018 .

[8]  Ali Mosleh,et al.  Phoenix - A model-based Human Reliability Analysis methodology: Qualitative Analysis Procedure , 2016, Reliab. Eng. Syst. Saf..

[9]  Chaozhong Wu,et al.  Deep learning for autonomous ship-oriented small ship detection , 2020 .

[10]  Thomas Porathe,et al.  Autonomous Unmanned Merchant Vessel and its Contribution towards the e-Navigation Implementation: The MUNIN Perspective , 2014 .

[11]  Jakub Montewka,et al.  Towards the assessment of potential impact of unmanned vessels on maritime transportation safety , 2017, Reliab. Eng. Syst. Saf..

[12]  Jin Wang,et al.  Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River , 2013, Reliab. Eng. Syst. Saf..

[13]  Yang Wang,et al.  Ship Domain Model for Multi-ship Collision Avoidance Decision-making with COLREGs Based on Artificial Potential Field , 2017 .

[14]  Stein Haugen,et al.  Ship Trajectory Control Optimization in Anti-collision Maneuvering , 2013 .

[15]  E. Zio,et al.  A resilience perspective on water transport systems: The case of Eastern Star , 2019, International Journal of Disaster Risk Reduction.

[16]  Qiang Meng,et al.  Tugboat scheduling for container ports , 2020 .

[17]  Xinping Yan,et al.  Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters , 2019, Safety Science.

[18]  Di Zhang,et al.  A probabilistic model of human error assessment for autonomous cargo ships focusing on human–autonomy collaboration , 2020 .

[19]  Joyce Farrell,et al.  Neural Network Generalization: The Impact of Camera Parameters , 2019, IEEE Access.

[20]  Lokukaluge P. Perera,et al.  Collision risk detection and quantification in ship navigation with integrated bridge systems , 2015 .

[21]  Xinping Yan,et al.  A distributed anti-collision decision support formulation in multi-ship encounter situations under COLREGs , 2015 .

[22]  Ingrid Bouwer Utne,et al.  Collision avoidance on maritime autonomous surface ships: Operators’ tasks and human failure events , 2019, Safety Science.

[23]  Xin-ping Yan,et al.  On the Use of the Hybrid Causal Logic Methodology in Ship Collision Risk Assessment , 2020, Journal of Marine Science and Engineering.

[24]  Mingyang Zhang,et al.  Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters , 2019, Ocean Engineering.

[25]  Xinping Yan,et al.  An Evidential Reasoning‐Based CREAM to Human Reliability Analysis in Maritime Accident Process , 2017, Risk analysis : an official publication of the Society for Risk Analysis.

[26]  Jakub Montewka,et al.  Reliability Engineering and System Safety Enhancing human performance in ship operations by modifying global design factors at the design stage , 2019 .

[27]  Emery Roe,et al.  High reliability management and control operator risks in autonomous marine systems and operations , 2019, Ocean Engineering.