Uncertainty-informed ship voyage optimization approach for exploiting safety, energy saving and low carbon routes

Article Engineering, Marine

Ship weather routing optimization based on improved fractional order particle swarm optimization

Wei Du et al.

Summary: This paper improves the FOPSO algorithm by adaptively changing coefficients and achieves better performance in solving multi-dimensional nonlinear problems, particularly in ship weather routing optimization with constraints.

OCEAN ENGINEERING (2022)

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Article Engineering, Marine

Reflecting the uncertainties of ensemble weather forecasts on the predictions of ship fuel consumption

R. Vettor et al.

Summary: This study investigates different methodologies for predicting the uncertainties in ship fuel consumption, including ensemble weather forecasts, probabilistic approaches, and a classical first-order second-moment method. By comparing the results from different methods, it is found that the actual fuel consumption falls within the predicted range with reasonable agreement.

OCEAN ENGINEERING (2022)

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Article Engineering, Marine

Autonomous piloting and berthing based on Long Short Time Memory neural networks and nonlinear model predictive control algorithm

Shengzheng Wang et al.

Summary: This paper proposes a ship handling and motion model that considers disturbances of wind and currents, a trajectory prediction model based on LSTM neural network, and a nonlinear MPC model to control trajectory tracking, improving the ship's anti-disturbance capability and accuracy. Experiments demonstrate the outstanding performance and effectiveness of the proposed approach under hybrid disturbances of wind and currents.

OCEAN ENGINEERING (2022)

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Article Engineering, Marine

Marine route optimization using reinforcement learning approach to reduce fuel consumption and consequently minimize CO2 emissions

Mohammad Hossein Moradi et al.

Summary: In order to meet the 2050 CO2 targets, the shipping industry needs to optimize ship operations by using alternative fuels and route optimization. This paper proposes an innovative approach using Reinforcement Learning to optimize ship routes. The application of Deep Deterministic Policy Gradient (DDPG) method achieves the best results in minimization of fuel consumption.

OCEAN ENGINEERING (2022)

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Article Engineering, Civil

Near-Field Route Optimization-Supported Polar Ice Navigation via Maritime Radar Videos

Xinwei Lin et al.

Summary: The accurate design of ship routing plans in arctic areas is challenging due to the changing navigation conditions, such as weather, visibility, and ice thickness. To address this issue, a near-field route optimization model was proposed to automatically select an optimal route based on radar echo images. The model considers minimum navigation risk and steaming distance, and was verified using the Xuelong voyage dataset. This research finding can assist ship crews in designing more reasonable navigation routes in polar channels.

JOURNAL OF ADVANCED TRANSPORTATION (2021)

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Article Oceanography

Application of Improved Multi-Objective Ant Colony Optimization Algorithm in Ship Weather Routing

Zhang Guangyu et al.

Summary: This paper presents a novel intelligent and effective method based on an improved ant colony optimization algorithm to solve the multi-objective ship weather routing optimization problem, while also using a black-box model method to study ship fuel consumption during a voyage. The improved algorithm shows effectiveness in solving multi-objective weather routing optimization problems, and the black-box model method demonstrates higher accuracy and applicability compared to other fuel consumption calculation methods.

JOURNAL OF OCEAN UNIVERSITY OF CHINA (2021)

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Article Transportation

Ship route and speed multi-objective optimization considering weather conditions and emission control area regulations

Weihao Ma et al.

Summary: This paper proposes a route and speed optimization method to reduce sailing cost and time by considering Emission Control Areas regulations and weather conditions. The Non-dominated Sorting Genetic Algorithm (NSGA-II) is used to find the Pareto-optimal set, while the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used to identify trade-off solutions. Results show that the method can effectively reduce total sailing cost and time, helping shipping companies cope with fuel price fluctuations, and determining the best time interval for changing ship route and speed.

MARITIME POLICY & MANAGEMENT (2021)

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Development of a New Ship Adaptive Weather Routing Model Based on Seakeeping Analysis and Optimization

Silvia Pennino et al.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2020)

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Article Environmental Studies

Machine learning approach to ship fuel consumption: A case of container vessel

Tayfun Uyanik et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2020)

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Review Engineering, Marine

Ship weather routing: A taxonomy and survey

Thalis P. Zis et al.

OCEAN ENGINEERING (2020)

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Article Chemistry, Multidisciplinary

Near-Optimal Weather Routing by Using Improved A* Algorithm

Yong Woo Shin et al.

APPLIED SCIENCES-BASEL (2020)

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TOWARDS IMPROVING OPTIMISED SHIP WEATHER ROUTING

Roberto Vettor et al.

POLISH MARITIME RESEARCH (2020)

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Article Environmental Studies

Predicting ship fuel consumption based on LASSO regression

Shengzheng Wang et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2018)

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Ship voyage optimization for safe and energy-efficient navigation: A dynamic programming approach

R. Zaccone et al.

OCEAN ENGINEERING (2018)

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Review Engineering, Multidisciplinary

A review of multi-objective optimization: Methods and its applications

Nyoman Gunantara

COGENT ENGINEERING (2018)

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Development of a ship weather routing system

Roberto Vettor et al.

OCEAN ENGINEERING (2016)

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Article Engineering, Marine

A semi-empirical ship operational performance prediction model for voyage optimization towards energy efficient shipping

Ruihua Lu et al.

OCEAN ENGINEERING (2015)

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Article Multidisciplinary Sciences

Additional Arctic observations improve weather and sea-ice forecasts for the Northern Sea Route

Jun Inoue et al.

SCIENTIFIC REPORTS (2015)

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A comparative study of deterministic and ensemble weather forecasts for weather routing

Lukas Skoglund et al.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2015)

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Review Engineering, Marine

Introduction of MMG standard method for ship maneuvering predictions

H. Yasukawa et al.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2015)

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Multi-objective Weather Routing with Customised Criteria and Constraints

Joanna Szlapczynska

JOURNAL OF NAVIGATION (2015)

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Fuel-saving ship route using the Navy's ensemble meteorological and oceanic forecasts

Peter C. Chu et al.

JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS (2015)

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Recent developments of ocean environmental description with focus on uncertainties

Elzbieta M. Bitner-Gregersen et al.

OCEAN ENGINEERING (2014)

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Numerical ship navigation based on weather and ocean simulation

Chen Chen et al.

OCEAN ENGINEERING (2013)

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An Ant Colony Algorithm for efficient ship routing

Ming-Cheng Tsou et al.

POLISH MARITIME RESEARCH (2013)

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A Prototype of Ship Routing Decision Support System for an Operational Oceanographic Service

G. Mannarini et al.

TRANSNAV-INTERNATIONAL JOURNAL ON MARINE NAVIGATION AND SAFETY OF SEA TRANSPORTATION (2013)

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On evolutionary computing in multi-ship trajectory planning

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APPLIED INTELLIGENCE (2012)

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Development of a novel forward dynamic programming method for weather routing

Wei Shao et al.

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CLIMATE SCIENCE AND THE UNCERTAINTY MONSTER

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BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2011)

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A new weather-routing system that accounts for ship stability based on a real-coded genetic algorithm

Atsuo Maki et al.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2011)

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Robust Pareto-optimum routing of ships utilising deterministic and ensemble weather forecasts

Joern Hinnenthal et al.

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Application of wave model for weather routing of ships in the North Indian Ocean

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A fast and elitist multiobjective genetic algorithm: NSGA-II

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IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)

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Uncertainty-informed ship voyage optimization approach for exploiting safety, energy saving and low carbon routes

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