How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications

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Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters

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Empirical Ship Domain based on AIS Data

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Navigating industry 4.0: digital transformation and technological advancements in maritime transportation

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PortMiner: Unsupervised data mining for functional areas extraction in port areas

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Semi-supervised vessel trajectory analysis for unregulated fishing activity detection

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Towards COLREGs-aware ship collision avoidance with multi-agent PPO-LSTM in maritime IoT

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Application of IoT to Monitor the Shipping of Goods in Maritime Transportation System

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Maritime ship tracking based on SAR constellation: a preliminary implementation

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Characterizing collaborative networks for different arctic issues based on complex network analysis

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A micro-network within the port for vessel anchorage selection decision support

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Predicting ship–buoy collisions using AIS data with an encoder–decoder architecture

Lu, Y., Zhao, Y., Zeng, F.-L., Shi, Y., Zhou, Y., Lv, P., Yang, Y., Pan, Q., & Xu, J. (2025) · Ships and Offshore Structures · doi:10.1080/17445302.2025.2478365 · Cited by 3

Elucidating US Import Supply Chain Dynamics: A Spatial-Temporal Graph Neural Network Approach

Aristov, N., Li, Z., Koch, T., & Dugundji, E. R. (2024) · IEEE High Performance Extreme Computing Conference · doi:10.1109/hpec62836.2024.10938516 · Cited by 3

The impact of dynamic capabilities on shipping port performance: a serial-mediation of sustainability practices based on dynamic capability view

Kishore, L., Pai, Y. P., Geetha, E., Dmello, V. J., & Bidi, S. B. (2025) · Discover Sustainability · doi:10.1007/s43621-025-01235-4 · Cited by 11

Seabird‐vessel interactions in industrial fisheries of Northwest Africa: Implications for international bycatch management

Navarro‐Herrero, L., March, D., Militão, T., Saldanha, S., Medrano, F., Vicente‐Sastre, D., Ouled‐Cheikh, J., Ramos, R., Matos, D. M., Rodrigues, I., et al. (2025) · Journal of Applied Ecology · doi:10.1111/1365-2664.70139 · Cited by 3

Measurement report: Six-year DOAS observations reveal post-2020 rebound of ship SO 2 emissions in a Shanghai port despite low-sulfur fuel policies

Liu, J., Wang, S., Zhang, Y., Zhang, S., Yan, Y., Han, Z., & Zhou, B. (2025) · Atmospheric chemistry and physics · doi:10.5194/acp-25-13849-2025 · Cited by 3

Predicting Expected Time of Arrival of Shipments Through Multiple Linear Regression

Mahajan, P. C., Kiwelekar, A. W., Netak, L. D., & Ghodake, A. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-981-16-3690-5_30 · Cited by 3

A Vision-based Ship Speed Measurement Method Using Deep Learning

Geng, S., Zhou, Z., & Zhao, J. (2023) · International Conference on Transportation Information and Safety · doi:10.1109/ictis60134.2023.10243694 · Cited by 3

Exploring the ship operation safety indicators of international ports in Taiwan

Liou, J.-H., & Tseng, P.-H. (2024) · Maritime Transport Research · doi:10.1016/j.martra.2024.100111 · Cited by 3

Predicting container intermodal transport arrival times: An approach based on IoT data

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AIS-based geospatial analysis on spot contract of dry bulk carriers

Tran, T. T. T., Murong, L., Liu, L., & Shibasaki, R. (2025) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2025.101315 · Cited by 3

Ship-type preferences of newbuildings in the dry bulk market

Fan, L., Yang, H., & Yang, Q. (2022) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2022.100886 · Cited by 3

Incorporation of Deep Kernel Convolution into Density Clustering for Shipping AIS Data Denoising and Reconstruction

Zhang, J., Ren, X., Li, H., & Yang, Z. (2022) · Journal of Marine Science and Engineering · doi:10.3390/jmse10091319 · Cited by 3

Identifying and analyzing barriers to ship-based evacuation planning using AIS data

Islam, S., Shi, Y., Nahar, R., Ahmed, J. U., & Wang, M. (2025) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2025.104357 · Cited by 2

Assessing the Credibility of AIS-Calculated Risks in Busy Waterways: A Case Study of Hong Kong Waters

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Development of a knowledge-based noise test for robustness of vessel fuel consumption prediction models

Chua, P. C., Chieng, R., Wang, R., Lee, K., Xu, H., Fu, X., & Yan, R. (2025) · Maritime Policy & Management · doi:10.1080/03088839.2025.2548786 · Cited by 2

Quality analysis of AIS data derived from Haiyang (HY) series satellites

Ding, X., Ai, S., Ling, J., Cui, M., An, J., & Huang, L. (2025) · Acta Oceanologica Sinica · doi:10.1007/s13131-025-2491-3 · Cited by 2

Does voluntary carbon disclosure lead to supply chain leakage: evidence from U.S. Firms’ container carbon emissions

Li, C., Cariou, P., & Yang, D. (2025) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104707 · Cited by 3

Self-Supervised Ship Identification in Optical Satellite Imagery

Nezhad, K. B., Heiselberg, P., Pedersen, H. B., & Heiselberg, H. (2026) · Journal of Marine Science and Engineering · doi:10.3390/jmse14020204 · Cited by 2

MaritiNet: An efficient feature fusion network of multi-scenario ship detection for maritime situational awareness

Chen, H., Chang, Y., Zeng, W., Wang, F., Qu, C., Chen, C., Hu, X., Yang, X., & Wang, L. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.131662 · Cited by 2

Spatiotemporal patterns of maritime incidents along the Northern Sea Route: A 20-year analysis

Yan, Y., Wang, X., Lin, Z., Ren, L., Hou, Q., & Xu, Y. (2026) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2026.108220 · Cited by 2

Resilient inland vessel trajectory prediction via visual-kinematic data imputation and interaction-aware graph learning

Bao, M., Lu, Y., Li, X., Ding, H., Yang, D., & Zhang, M. (2026) · Ocean Engineering · doi:10.1016/j.oceaneng.2026.125842 · Cited by 2

A critical examination of the impact of big data analytics capability on container port performance

Zhao, G., Xie, X., Jones, P. K., & Wu, X. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103469 · Cited by 2

SPATIO TEMPORAL DATA CUBE APPLIED TO AIS CONTAINERSHIPS TREND ANALYSIS IN THE EARLY YEARS OF THE BELT AND ROAD INITIATIVE – FROM GLOBAL TO LOCAL SCALE

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Time-Series Analysis of Ship Movements Using Community Detection and Functional Data Analysis across the East Coast of the Republic of Korea

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Proposal for Improved Navigation Safety of Non Solas Vessels by Combining TSS And IoT Technology

Stanovčić, I., Bošnjak, R., Radonjić, M., & Krstajić, B. (2023) · doi:10.1109/it57431.2023.10078689 · Cited by 2

Spatial analysis of fishing tows with Automatic Identification System (AIS) data to inform offshore wind layouts

Drew, S., Wolterding, M., Rawson, A., & Drew, J. (2024) · Marine and Coastal Fisheries · doi:10.1002/mcf2.10279 · Cited by 2

Vessel Voyage Trajectory Extrapolation: Comparing the Performance of Kalman Filters

Magalhães, A., Estima, J., & Cardoso, A. (2023) · Experiment@International Conference · doi:10.1109/exp.at2358782.2023.10545740 · Cited by 2

Reconstructing and assessing global maritime transport network: based on the Port Cargo Composite Transport index

Zhang, Q., Hu, X., Xie, Y., & Li, Z. (2024) · Maritime Policy & Management · doi:10.1080/03088839.2024.2385845 · Cited by 2

The integrated application of big data and geospatial analysis in maritime transportation safety management: A comprehensive review

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Data Integrity Versus Inference Accuracy in Large AIS Datasets

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Deep-learning-based vessel trajectory prediction model with clustering-enhanced phased destination recognition

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Multi-Sensor Inferred Trajectories (MUSIT) for Vessel Mobility

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Study on Modeling Formalism and Co-simulation for the System-level Test of Maritime Components

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Towards Vessel Arrival Time Prediction Through a Deep Neural Network Cluster

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On-board emission measurements on ships: Lessons learned, practical challenges, and opportunities

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Optimization of advertising media placement on transport infrastructural sites on the basis of big data technologies

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A Novel Approach for Knowledge Discovery from AIS Data: An Application for Transit Marine Traffic in the Sea of Marmara

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Basic Ship-Planning Support System Using Big Data in Maritime Logistics for Simulating Demand Generation

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The Nonlinear Relationship between Oil Prices and the Number of Tankers’ Port Calls: Evidence from AIS Data

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Assessment of Possible Misidentifi cation of AIS Transponders within AIS Data due to Bit Inversions of MMSI

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Grid-Based Ship Density Analysis and Anomaly Detection for Ship Movements Monitoring at Tanjung Priok Port

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Submarine pile foundation and cable monitoring based on sensor fusion and big data analysis

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Automatic Identification System: Security Challenges, Mitigation Strategies and Future Trends

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Evaluation of Ship Importance in Offshore Wind Farm Area Based on Fusion Gravity Model in Complex Network

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Internalizing congestion: the impact of market concentration and priority provision in global container ports

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ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency

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Dynamic Simulation of Inland Vessel Traffic Flow Based on AnyLogic

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Integrating graph neural networks and LSTM for path optimization in smart port multi-modal systems

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PortVIS: An Interactive Platform for Port-to-Port Trajectory Imputation and Visual Analytics

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Charting the course for management: a global analysis of effects of vessels on marine megafauna

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Port-City synergy and its spillover effects on inland port technical efficiency: A case study from the Yangtze River region

Wu, Z. (2026) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2026.104642 · Cited by 1

Monitoring and service for ships from the perspective of the remote operations center

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Context-Enriched Natural Language Descriptions of Vessel Trajectories

Patroumpas, K., Troupiotis-Kapeliaris, A., Spiliopoulos, G., Betchavas, P., Skoutas, D., Zissis, D., & Bikakis, N. (2026) · IEEE International Conference on Mobile Data Management (MDM) · doi:10.1109/mdm71479.2026.00019 · Cited by 1

TrajCleaner: An end-to-end framework for systematic cleaning and completing vessel trajectory data

Qiang, H., Niu, W., Peng, X., & Li, H. (2026) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2026.105131 · Cited by 1

Estimating Vessel Speed Through Water from Sparse Publicly Available Data Using AIS Trajectories and Tidal Current Reconstruction

Simavari, P., Pazouki, K., & Norman, R. A. (2026) · Journal of Marine Science and Engineering · doi:10.3390/jmse14151442 · Cited by 1

Comprehensive System of Preventing Marine Pollution in Ocean-going Ships

Liang, E. (2021) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/859/1/012100 · Cited by 1

Fuzzy Controller Design Approach for a Ship’s Dynamic Path Based on AIS Data with the Takagi–Sugeno Fuzzy Observer Model

Pen, C.-L., Chang, W., & Lin, Y.-H. (2023) · Journal of Marine Science and Engineering · doi:10.3390/jmse11061181 · Cited by 1

ASSESSMENT OF THE ENVIRONMENTAL IMPACT BY MERCHANT VESSELS’ VOYAGE MONITORING

Rauca, L. (2022) · Scientific Bulletin of Naval Academy · doi:10.21279/1454-864x-22-i2-002 · Cited by 1

Visual Analysis of Ship Trajectories Based on Kernel Density Estimation

Shi, J., Pan, Y., Xiang, Y., Liu, X., Wang, Y., & Ji, C. (2023) · International Conference on Virtual Reality · doi:10.1109/icvr57957.2023.10169721 · Cited by 1

EXPLORING THE POTENTIAL OF OPEN-DATA FOR OCEANS MONITORING WITH AI ANALYTICS

Mdakane, L. W., Sibolla, B. H., & Haupt, S. (2023) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlviii-1-w2-2023-1467-2023 · Cited by 1

Deep learning based ship trajectory prediction with AIS

Guan, J., Liu, J., Mo, Q., & Yang, Q. (2024) · International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID) · doi:10.1117/12.3026330 · Cited by 1

Elucidating US Import Supply Chain Dynamics

Aristov, N., Li, Z., Koch, T., & Dugundji, E. R. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.06.018 · Cited by 1

Granular Clustering for Maritime Situation Awareness

Aliberti, L., D’Aniello, G., Gaeta, M., & Sorrentino, E. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-64776-5_2 · Cited by 1

Spatial and Temporal Variations in Offshore Crude Oil Transportation: Insights From China's Coastal Ports

Chen, Y., Cai, X., Xiao, Y., Hu, K., Yin, C., & Yan, Z. (2024) · Transactions in GIS · doi:10.1111/tgis.13260 · Cited by 1

Anchor Dragging Risk Estimation Strategy from Supervised Cost-Sensitive Learning

Yoo, S.-L., Onyango, S. O., Kim, J.-S., & Kim, K.-I. (2024) · Journal of Marine Science and Engineering · doi:10.3390/jmse12101817 · Cited by 2

Literature Review and Future Prospects on Vessel Movement Data Usage including AIS

Wada, Y., Shibasaki, R., Kosaka, H., Watanabe, D., Ito, H., Tsubota, K., Aratani, T., Izumiyama, T., & Iwasa, R. (2021) · Journal of the Japan Society of Naval Architects and Ocean Engineers · doi:10.2534/jjasnaoe.34.123 · Cited by 1

Shipping Information Modeling (SIM): bridging the gap between academia and industry

Wang, S. (2022) · Electronic Research Archive · doi:10.3934/era.2022185 · Cited by 1

Resilience Assessment of the Global Liquefied Natural Gas Maritime Network in the Context of the Russia-Ukraine ConflictPreprint

Xiao, R., Xiao, T., Zhao, P., Zhang, M., & ma, T. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4662843 · Cited by 1

Unlocking Supply Chain Resilience in Ports: Harnessing Big Data Analytics for Firm Performance EnhancementPreprint

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Data Integrity vs. Inference Accuracy in Large AIS DatasetsPreprint

Kiersztyn, A., Czerwiński, D., Oniszczuk-Jastrząbek, A. I., Czermański, E., & Rzepka, A. (2025) · Qeios · doi:10.32388/8pubhn · Cited by 1

Efficiency of the Sea Commercial Port Information System

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The Congestion Effect of Oil Transportation and Its Trade ImplicationsPreprint

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The Climate Impact of High Seas ShippingPreprint

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Seaports

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On the Construction of Symmetries and Retaining Lifted Representations in Dynamic Probabilistic Relational Models

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Applications of AIS data analysis in bunkering Industry and its related factors

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Challenges of autonomous shipping: Traffic analysis of inland vessels on the Rhine River

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The assessment of the marine risks based on the formal safety assessment

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Evaluation and control of data relevance in information systems of the transport industry management

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Towards Accurate Greenhouse Gases Emissions Estimations in Shipping: Advancements in Imputing Missing Technical DataPreprint

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