Open research questions in Maritime Navigation and Safety
144 gap statements mined from Maritime Navigation and Safety papers in our 4.5M-paper local library, which holds 1,224 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.
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What the literature leaves open
Existing methods typically focus on single prediction objectives, which is insufficient for practical requirements. There is a need for a framework that can simultaneously handle multiple prediction tasks.
A Geospatial Grid Constrained Deep Learning Prediction Framework Based on AIS Data for Improving Vessel Traffic Services in Maritime Internet of Things · 2026 · DOIFuture research can focus on testing the approach in real-world environments. Future research can focus on applying the approach to other areas of ship control, such as navigation and docking.
Autonomous berthing path tracking of a 4-DOF ship under nonlinear model predictive control · 2026 · DOIThe gap is the need for more accurate prediction and control of ship motion. The gap is the need for more robust control methods that can respond to complex sea state and environmental changes.
Autonomous berthing path tracking of a 4-DOF ship under nonlinear model predictive control · 2026 · DOIThe study does not provide a comprehensive evaluation of the drill's effectiveness. The study is limited to the MV Pacific Bulk ship and may not be generalizable to other ships.
Analysis of the Implementation of Abandon ship drill to Face Emergency Situations on the MV Pacific Bulk Ship · 2026 · DOIFurther studies should be conducted to evaluate the effectiveness of the drill. Studies should be conducted on other ships to generalize the findings.
Analysis of the Implementation of Abandon ship drill to Face Emergency Situations on the MV Pacific Bulk Ship · 2026 · DOIThe study has a single-case study focus (Gas Arar) that lacks broad generalizability. The study relies on participant observation during a short period (July 2024-2025). The study lacks quantitative data, such as GPS error rates, in tropical conditions.
Maintaining Maritime Safety Through the Use of Navigational Equipment in Accordance with Solas Chapter V · 2026 · DOIThe lack of effective systems for maritime piracy detection and risk zone prediction.
The availability of high-quality and diverse datasets was a primary limitation. The use of simulated and anonymized data limited the model's ability to generalize to real-world scenarios. The restriction imposed by the offline environment increased development time and complexity.
The lack of a global-scale travel-time prediction method. The need for a methodology that can handle noisy and incomplete AIS data.
Historical Knowledge Graphs for Global Maritime Estimated Time of Arrival · 2026Port State Control (PSC) inspections play a critical role in enforcing international maritime safety and environmental standards, yet little is known about how compliance behaviour interacts with economic cycles.
Economic Cycles and Regulatory Compliance: A Bidirectional Analysis of Vessel Detentions Under Port State Control · 2026 · DOIThe manual review of accident reports can lead to biases, errors, and poor judgement. The vulnerability of LLMs to prompt injection attacks. The need to develop a RAG system that can extract user-required information from maritime accident reports.
Retrieval-Augmented Generation for Maritime Accident Report Analysis: Evaluating Large Language Models on Performance and Cybersecurity · 2026 · DOINeed for expertise in spatio-temporal databases and maritime domain knowledge.
There is a need for a knowledge-centric approach to analyze AIS data. Prior work has addressed the challenges of analyzing AIS data, but there is still a gap in providing a platform that enables non-expert users to analyze vessel trajectories effectively.
The high number of human-caused accidents in Indonesian waters is a research gap. The need for evaluation of BRM implementation on maritime safety is a research gap.
Analysis of The Effectiveness of The Implementation of Bridge Resource Management On Shipping Safety · 2026 · DOIThe current credentialing system has significant gaps, particularly regarding cross-jurisdictional recognition mechanisms and real-time competency tracking capabilities. The research identifies a need for a comprehensive framework for maritime credentialing.
Blockchain-Enhanced Maritime Education Ecosystem: Decentralized Credentialing for Global Seafarer Competency Verification · 2026 · DOIMaritime students must develop fluency, grammatical accuracy and range, content organization, vocabulary, and pronunciation to communicate effectively in English. Effective English communication is crucial in maritime education, where it plays a significant role in classroom discussions, simulations, oral presentations, and future shipboard operations.
The study identifies a need to assess the speaking performance of maritime students. There is a gap in understanding the level of speaking performance among maritime students.
The study highlights the need for further detail in certain areas of Saudi law. The study's conclusions may inform policy and regulatory decisions.
Statutory Protection of Maritime Worker against Economic and Occupational Risks: An Analytical Study · 2026 · DOIThe study highlights the need for further research on the adequacy of statutory protections.
Statutory Protection of Maritime Worker against Economic and Occupational Risks: An Analytical Study · 2026 · DOIQuantitative SNR analysis. Further study on the impact of traffic density on VHF Channel 12 efficacy.
Analysis of the Effectiveness of Using VHF Radio Channel 12 to Assist the Maneuvering Guidance Process on the Km. Binaiya Ship · 2026 · DOIIntegration of weather data and port congestion information into the knowledge graph. Investigation of data-driven modelling for learning complex spatial dependencies.
Historical Knowledge Graphs for Global Maritime Estimated Time of Arrival · 2026Technical obstacles or time constraints that prevent some charts from being updated optimally, - Busy watch duties and limited operational time, - Technical difficulties with the ECDIS…
The Use of the Electronic Chart Display and Information System (ECDIS) in the Navigation Process on the MV. Hanwoori · 2026 · DOIThe need to analyze the deck officers' understanding level and identify factors that influence the effectiveness of ECDIS…
The Use of the Electronic Chart Display and Information System (ECDIS) in the Navigation Process on the MV. Hanwoori · 2026 · DOIScarcity and underreporting of offshore accident data; complexity of identifying the causes and consequences of allision accidents; need for a more advanced probabilistic model for risk assessment…
Further study of the causes and consequences of allision accidents; development of more advanced probabilistic models for risk assessment and management; application of the study's methodology to other types of accidents in the offshore…
Most-cited papers in Maritime Navigation and Safety
- Human and organisational factors in maritime accidents: Analysis of collisions at sea using the HFACS · Accident Analysis & Prevention · 2013 · 515 citations
- A path planning strategy unified with a COLREGS collision avoidance function based on deep reinforcement learning and artificial potential field · Applied Ocean Research · 2021 · 318 citations
- Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networks · IEEE Transactions on Aerospace and Electronic Systems · 2021 · 301 citations
- Ship collision risk assessment for the Singapore Strait · Accident Analysis & Prevention · 2011 · 260 citations
- An analysis of factors affecting the severity of marine accidents · Reliability Engineering & System Safety · 2021 · 240 citations
- Collision-avoidance navigation systems for Maritime Autonomous Surface Ships: A state of the art survey · Ocean Engineering · 2021 · 232 citations
- Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things · IEEE Transactions on Network Science and Engineering · 2022 · 225 citations
- Dynamic anti-collision A-star algorithm for multi-ship encounter situations · Applied Ocean Research · 2021 · 219 citations
- A novel MP-LSTM method for ship trajectory prediction based on AIS data · Ocean Engineering · 2021 · 214 citations
- An Overview of Maritime Waterway Quantitative Risk Assessment Models · Risk Analysis · 2011 · 213 citations
Most recent work
- Density Knowledge Mining for Quantity-Aware Marine Vessel Surveillance Using Satellite SAR Data · IEEE Transactions on Industrial Informatics · 2026
- MKG-GNN:Maritime Knowledge Graph and GNN Framework for ship speed forecasting in port · Ocean Engineering · 2026
- Intelligent analysis of ship collision accidents via Low-Rank Adaptation-based fine-tuning of medium-scale Large Language Models · Reliability Engineering & System Safety · 2026
- ADE-MIFS: Real-time cooperative navigation for multi-USVs in dynamic maritime environments · Ocean Engineering · 2026
- KFIA-Net: a knowledge fusion and imbalance-aware network for multi-category SAR ship detection · International Journal of Applied Earth Observation and Geoinformation · 2026
- Systemic risk analysis of complex socio-technical systems from the safety-II perspective · Reliability Engineering & System Safety · 2026
- From text to network: A framework for identifying causal factors and risk propagation paths in maritime accidents · Reliability Engineering & System Safety · 2026
- Digital disaster prevention for ocean engineering: Current progress and future directions · Ocean Engineering · 2026
- Real-time trajectory planning of unmanned surface vehicles: A constraint-embedded model predictive control approach · Ocean Engineering · 2026
- FTILOS-Based Path Following Control for Underactuated USVs With Obstacle Avoidance: A Planning-Guidance-Control Integrated Design · IEEE Transactions on Industrial Electronics · 2026
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