Individual collision risk assessment in ship navigation: A systematic literature review

Öztürk, Ülkü; Çiçek, Kadir

doi:10.1016/j.oceaneng.2019.03.042

Cited by 85 publications

(30 citation statements)

References 48 publications

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“…The wealth of literature on collision risk assessment can be roughly divided into two camps: ones that formulate probability models to estimate the likelihood of a collision within a geographical area and ones that estimate the probability of a collision for a particular ship given the navigational environment [38]. The first camp takes a frequentist view to risk and these models are generally developed with harbor control or transportation analysis applications in mind.…”

Section: Collision Risk Assessment and Resolutionmentioning

confidence: 99%

“…Among risk models developed for collision avoidance, the most common features considered are TCPA, DCPA, and relative bearing [38]. But due to the number of feature parameters and the inherently complex marine environment, the consensus on how to evaluate risk ends there.…”

Section: Collision Risk Assessment and Resolutionmentioning

confidence: 99%

“…The overarching algorithm of the planned phase seeks to emulate a mariner who changes after a preset threshold is reached [11,23,31,29,38,49]. Moderate realists and moderate constructionist models that value expert judgments import mariners' maneuvering and risk assessment to some extent, but suffer from the scope of expert data collection [20,36,28,40].…”

Section: Reasoning Processmentioning

confidence: 99%

“…The general planned phase reasoning process presented in Algorithm 1 seeks to avoid undesirable and risky situations in the future. The vast literature of collision risk assessment as covered in Section 1.2.2, offers many options to quantify risk [38,15].…”

Section: Density Analysismentioning

confidence: 99%

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A planned approach to high collision risk area

Li¹

2020

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This thesis examines the transition of a vessel from the open ocean, where collisions are rare, to a high risk and heavy traffic area such as a Traffic Separation Scheme (TSS). Previous autonomy approaches generally view path planning and collision avoidance as two separate functions, i.e. a vessel will follow the planned path until conditions are met for collision avoidance algorithms to take over. Here an intermediate phase is proposed with the goal of adjusting the time of arrival to a high vessel density area so that the risk of collision is reduced. A general algorithm that calculates maximum future traffic density for all choices in the speed domain is proposed and implemented as a MOOS-IvP behavior. This behavior gives the vessel awareness of future collision risks and aids the collision avoidance process. This new approach improves the safety of the vessel by reducing the number of risky encounters that will likely require the vessel to maneuver for safety.

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Section: Collision Risk Assessment and Resolutionmentioning

confidence: 99%

Section: Collision Risk Assessment and Resolutionmentioning

confidence: 99%

Section: Reasoning Processmentioning

confidence: 99%

Section: Density Analysismentioning

confidence: 99%

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A planned approach to high collision risk area

Li¹

2020

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“…AIS information was also used for risk identification for vessel contact with fixed offshore platforms [19]. Full reviews on individual ship-ship collision risk analysis and assessment are respectively given in Reference [20] and [21] where a considerable number of research items addressed individual collision risk detection and collision avoidance methods designed and validated using AIS data. In addition to such severe impact of navigation accidents, the recent developments are continuously increasing the traffic capacity and leading to new emerging technologies and vessels characteristics.…”

Section: Introductionmentioning

confidence: 99%

AIS-Based Multiple Vessel Collision and Grounding Risk Identification based on Adaptive Safety Domain

Bakdi

Glad

Vanem

et al. 2019

JMSE

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The continuous growth in maritime traffic and recent developments towards autonomous navigation have directed increasing attention to navigational safety in which new tools are required to identify real-time risk and complex navigation situations. These tools are of paramount importance to avoid potentially disastrous consequences of accidents and promote safe navigation at sea. In this study, an adaptive ship-safety-domain is proposed with spatial risk functions to identify both collision and grounding risk based on motion and maneuverability conditions for all vessels. The algorithm is designed and validated through extensive amounts of Automatic Identification System (AIS) data for decision support over a large area, while the integration of the algorithm with other navigational systems will increase effectiveness and ensure reliability. Since a successful evacuation of a potential vessel-to-vessel collision, or a vessel grounding situation, is highly dependent on the nearby maneuvering limitations and other possible accident situations, multi-vessel collision and grounding risk is considered in this work to identify real-time risk. The presented algorithm utilizes and exploits dynamic AIS information, vessel registry and high-resolution maps and it is robust to inaccuracies of position, course and speed over ground records. The computation-efficient algorithm allows for real-time situation risk identification at a large-scale monitored map up to country level and up to several years of operation with a very high accuracy.

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Unmanned Remotely Operated Search and Rescue Ships in the Canadian Arctic: Exploring the Opportunities, Risk Dimensions and Governance Implications

Yoo

Goerlandt

Chircop

2020

Springer Polar Sciences

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This chapter is a proactive risk exploration of hypothetical remotely operated search and rescue (SAR) ships in the Canadian Arctic. The harsh and remote environment in the region, combined with complicated coastlines and many uncharted or poorly charted traffic routes, makes it one of the most challenging SAR areas. Canada has committed itself to safety, environmental protection and sovereign presence in the area by maintaining joint SAR centres of federal government departments and mobilizing private volunteers. The characteristics of Canadian SAR response in the Arctic rest with its high dependency on heavy equipment such as aircraft, helicopters and icebreakers, entailing prolonged hours of response time. As recent climate change impacts and maritime traffic increase in the northern waters disclose safety gaps, innovation in SAR assets is anticipated. The safety gaps may be filled by state-of-the-art remote control technology. This chapter discusses remotely operated unmanned ships for SAR response, exploring their opportunities, risk dimensions and governance implications.

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Individual collision risk assessment in ship navigation: A systematic literature review

Cited by 85 publications

References 48 publications

A planned approach to high collision risk area

A planned approach to high collision risk area

AIS-Based Multiple Vessel Collision and Grounding Risk Identification based on Adaptive Safety Domain

Unmanned Remotely Operated Search and Rescue Ships in the Canadian Arctic: Exploring the Opportunities, Risk Dimensions and Governance Implications

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