Maritime Transport Research最新文献

High-accuracy prediction of vessels’ estimated time of arrival in seaports: A hybrid machine learning approach 船舶到达海港时间的高精度预测：一种混合机器学习方法

IF 3.9

Maritime Transport Research Pub Date : 2025-04-26 DOI: 10.1016/j.martra.2025.100133

Sunny Md. Saber , Kya Zaw Thowai , Muhammad Asifur Rahman , Md. Mehedi Hassan , A.B.M. Mainul Bari , Asif Raihan

{"title":"High-accuracy prediction of vessels’ estimated time of arrival in seaports: A hybrid machine learning approach","authors":"Sunny Md. Saber , Kya Zaw Thowai , Muhammad Asifur Rahman , Md. Mehedi Hassan , A.B.M. Mainul Bari , Asif Raihan","doi":"10.1016/j.martra.2025.100133","DOIUrl":"10.1016/j.martra.2025.100133","url":null,"abstract":"<div><div>Optimizing the Estimated Time of Arrival (ETA) for seaport-bound vessels is crucial to maritime operations since inaccurate ETA predictions can have a ripple effect, causing vessel schedule disruptions, congestion, and decreased port operational effectiveness. To address these challenges and fill substantial deficiencies in existing prediction models, we have introduced a novel hybrid tree-based stacking machine learning framework integrating Extra Trees, AutoGluon Tabular, and LightGBM, with Random Forest Regressor (RFR) as the meta-learner. Utilizing Automatic Identification System (AIS) data from vessels in the Baltic Sea, our model significantly improves ETA predictions, achieving a mean absolute percentage error (MAPE) of 0.25 %. Compared to existing machine learning algorithms, our stacking model exhibits superior prediction performance. Our study's feature importance analysis highlights the crucial role of variables like speed, distance, course, and vessel type in ETA forecasts. Cross-validation further confirms the robustness of our ensemble model. In conclusion, this study improves predictive analytics in marine logistics by giving useful information about real-time ETA estimates. This helps port authorities make the best use of their resources, reduces vessel idle time and congestion, and increases overall efficiency and sustainability. This way, this study can significantly contribute towards attaining operational excellence and provide a strong foundation for future predictive models, advancing smart port management and maritime logistics.</div></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"8 ","pages":"Article 100133"},"PeriodicalIF":3.9,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cost–benefit analysis and design optimization of wind propulsion systems for a Tanker retrofit case 某油轮改造案例中风力推进系统的成本效益分析与设计优化

IF 3.9

Maritime Transport Research Pub Date : 2025-04-19 DOI: 10.1016/j.martra.2025.100132

M. Reche-Vilanova , H.B. Bingham , M. Fluck , D. Morris , H.N. Psaraftis

{"title":"Cost–benefit analysis and design optimization of wind propulsion systems for a Tanker retrofit case","authors":"M. Reche-Vilanova , H.B. Bingham , M. Fluck , D. Morris , H.N. Psaraftis","doi":"10.1016/j.martra.2025.100132","DOIUrl":"10.1016/j.martra.2025.100132","url":null,"abstract":"<div><div>This study introduces WindWise, a cost–benefit analysis and design optimization tool for Wind Propulsion Systems (WPS) in sustainable shipping. By integrating route simulations, ship constraints, and fuel pricing scenarios, WindWise determines the optimal WPS configuration to maximize fuel savings and minimize payback periods. A retrofit case study of an oil tanker evaluates two WPS classes—DynaRigs and Rotor Sails—across multiple operational and economic conditions. Results reveal that optimal configurations vary based on constraints: in an unconstrained scenario, larger, well-spaced installations minimize aerodynamic losses, whereas realistic constraints shift the preference towards smaller, distributed setups to mitigate cargo loss and air draft penalties. Rotor Sails offer lower upfront costs and shorter payback periods for modest savings targets and for side-wind routes, while DynaRigs emerge as the more viable solution for higher emissions reductions and long-term profitability. Optimization of WPS configurations proves crucial, with non-optimized configurations exhibiting payback periods over 150% higher than optimized ones. Although payback period remains an important metric, considering both payback and net present value provides a more comprehensive assessment of WPS financial viability, with Rotor Sails generally offering faster payback but DynaRigs delivering higher long-term profitability across most scenarios.</div></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"8 ","pages":"Article 100132"},"PeriodicalIF":3.9,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting the destination port of fishing vessels utilizing transformers 利用变压器预测渔船目的港

IF 3.9

Maritime Transport Research Pub Date : 2025-03-17 DOI: 10.1016/j.martra.2025.100131

Andreas Berntsen Løvland, Helge Fredriksen, John Markus Bjørndalen

引用次数: 0

Measuring the impact of port congestion on containership freight rates 衡量港口拥堵对集装箱船运价的影响

IF 3.9

Maritime Transport Research Pub Date : 2025-01-21 DOI: 10.1016/j.martra.2025.100130

Nektarios A. Michail , Konstantinos D. Melas

引用次数: 0

A Bayesian network model integrating data and expert insights for fishing ship risk assessment 基于贝叶斯网络的渔船风险评估

IF 3.9

Maritime Transport Research Pub Date : 2025-01-12 DOI: 10.1016/j.martra.2024.100128

Sang-A Park , Deuk-Jin Park , Jeong-Bin Yim , Hyung-ju Kim

{"title":"A Bayesian network model integrating data and expert insights for fishing ship risk assessment","authors":"Sang-A Park , Deuk-Jin Park , Jeong-Bin Yim , Hyung-ju Kim","doi":"10.1016/j.martra.2024.100128","DOIUrl":"10.1016/j.martra.2024.100128","url":null,"abstract":"<div><div>Marine accidents can result in severe economic losses and casualties, underscoring the critical need for effective risk assessment.. In this study, quantitative marine accident reports from Korea that objectively describe accident variables were collected and classified to analyze marine accidents of fishing ships To analyze the causes of accidents involving different types of fishing ships, a survey with subject matter experts (SMEs) was conducted. A fishing ship accident Bayesian network (FABN) scenario was then developed by integrating fishing ship accident data with SME insights. The FABN was comprehensively modeled based on the scenario, with marine accidents being modeled based on causal variables each marine accident. Changes in the output value of the FABN were verified via a sensitivity analysis, and the independence and statistical significance of the model were confirmed using a statistical analysis of the collected data. FABN allows for the immediate assessment of the probability of marine accidents related to fishing ships by utilizing network structures, and provides the advantage of structurally assessing ship accident risks</div></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"8 ","pages":"Article 100128"},"PeriodicalIF":3.9,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative and critical analysis of data sources used for ship traffic spatial pattern analysis in Canada and across the global Arctic 对加拿大和全球北极地区用于船舶交通空间格局分析的数据源进行比较和批判性分析

IF 3.9

Maritime Transport Research Pub Date : 2025-01-11 DOI: 10.1016/j.martra.2025.100129

Adrian Nicoll , Jackie Dawson , Jérôme Marty , Michael Sawada , Luke Copland

{"title":"Comparative and critical analysis of data sources used for ship traffic spatial pattern analysis in Canada and across the global Arctic","authors":"Adrian Nicoll , Jackie Dawson , Jérôme Marty , Michael Sawada , Luke Copland","doi":"10.1016/j.martra.2025.100129","DOIUrl":"10.1016/j.martra.2025.100129","url":null,"abstract":"<div><div>This study presents a comprehensive comparative analysis of three primary datasets commonly employed to evaluate shipping patterns in Arctic waters: 1) Northern Canada Vessel Traffic Zone (NORDREG), 2) satellite-based Automatic Identification System (S-AIS) from a private provider, and 3) the Arctic Ship Traffic Database (ASTD). Covering the years 2011 to 2022, the analysis assesses spatial and temporal metrics for each dataset while employing robust data cleaning techniques to address signal manipulation and detection gaps. Findings reveal that S-AIS and NORDREG excel in detecting vessel traffic in Canadian waters, including the Northwest Passage (NWP), while ASTD demonstrates strong performance in regions with dense terrestrial AIS coverage, such as Norway and Iceland. However, ASTD is less effective along critical shipping routes, including the NWP and the Northern Sea Route (NSR), where S-AIS provides broader coverage. Both datasets indicate an upward trend in AIS-based traffic throughout the Arctic. The results underscore the value of fusing S-AIS and ASTD datasets to provide a more complete and accurate understanding of Arctic shipping patterns. This research offers critical insights for policymakers and researchers selecting ship traffic data for regional and global Arctic analyses, maritime safety, and environmental decision-making.</div></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"8 ","pages":"Article 100129"},"PeriodicalIF":3.9,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Maritime safety and risk analysis 海上安全与风险分析

IF 3.9

Maritime Transport Research Pub Date : 2024-12-20 DOI: 10.1016/j.martra.2024.100127

Jasmine Siu Lee Lam

引用次数: 0

Ports as business eco-systems in transition 作为转型期商业生态系统的港口

IF 3.9

Maritime Transport Research Pub Date : 2024-11-19 DOI: 10.1016/j.martra.2024.100125

Elvira Haezendonck , Peter W. de Langen

引用次数: 0

Big data and artificial intelligence in maritime transport research 海运研究中的大数据和人工智能

IF 3.9

Maritime Transport Research Pub Date : 2024-11-02 DOI: 10.1016/j.martra.2024.100123

Shuaian Wang , Ran Yan , Min Xu

引用次数: 0

Multi-objective vessel routing problems with safety considerations: A review 考虑安全因素的多目标船只航线问题：综述

IF 3.9

Maritime Transport Research Pub Date : 2024-10-30 DOI: 10.1016/j.martra.2024.100122

Nazanin Sharif , Mikael Rönnqvist , Jean-François Cordeau , Jean-François Audy , Gurjeet Warya , Trung Ngo

{"title":"Multi-objective vessel routing problems with safety considerations: A review","authors":"Nazanin Sharif , Mikael Rönnqvist , Jean-François Cordeau , Jean-François Audy , Gurjeet Warya , Trung Ngo","doi":"10.1016/j.martra.2024.100122","DOIUrl":"10.1016/j.martra.2024.100122","url":null,"abstract":"<div><div>This paper provides a review of vessel route planning with a focus on safety considerations and the complexity of multi-objective decision-making processes. This complexity arises from the difficulty of finding an appropriate balance between several objectives and safety concerns, often conflicting, that adequately reflects the preferences of the decision makers. The maritime industry faces the challenge of enhancing vessel route optimization for safety, operational efficiency, and cost-effectiveness. We thus describe quantitative methods to find routes that effectively balance multiple objectives, including safety, fuel consumption, and route duration. A significant focus is on the complexity of multi-criteria decision making in this area, highlighting various methodologies for balancing the different objectives. Safety is critical in this context, involving a thorough consideration of navigational risks, environmental factors, and compliance with International Maritime Organization regulations. Specifically, we introduce quantitative approaches for integrating key safety aspects into the decision-making process, including dynamic stability, the probability of bow slamming, and the occurrence of green water.</div></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"7 ","pages":"Article 100122"},"PeriodicalIF":3.9,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0