☆ 4.7 Article

RAGAN: A Generative Adversarial Network for risk-aware trajectory prediction in multi-ship encounter situations

OCEAN ENGINEERING (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Review Automation & Control Systems

Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis

Huanhuan Li et al.

Summary: This paper conducts a comparative analysis of the latest ship trajectory prediction algorithms based on machine learning and deep learning methods. It provides valuable guidance and insights for the selection of appropriate prediction methods and discusses the research difficulties and solutions for ship trajectory prediction.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2023)

添加到收藏夹

Article Economics

AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

Huanhuan Li et al.

Summary: This paper systematically analyzes the performance of ship trajectory prediction methods and conducts experimental tests to compare their prediction performance in real-world scenarios. The results provide a novel perspective and benchmark for ship trajectory prediction research, contributing to maritime safety and autonomous shipping development.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

SRAI-LSTM: A Social Relation Attention-based Interaction-aware LSTM for human trajectory prediction

Yusheng Peng et al.

Summary: Pedestrian trajectory prediction is an important research topic in computer vision, and this paper proposes an LSTM model based on social relation attention and interaction awareness to simulate social behavior during pedestrian walking. By using social relation features and attention mechanism, more accurate trajectory prediction is achieved.

NEUROCOMPUTING (2022)

添加到收藏夹

Article Engineering, Civil

Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques

Zhe Xiao et al.

Summary: Predictive vessel surveillance is a crucial component in intelligent maritime traffic systems, serving as a prerequisite for collision detection and risk assessment. This paper proposes a novel methodology for vessel trajectory and navigating state prediction based on AIS data, utilizing learning, motion modeling, and knowledge base assisted particle filtering processes. The research findings of this work include handling key challenges in vessel trajectory and navigating state prediction, such as adaptive training window determination and effective knowledge storage and searching algorithms.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

添加到收藏夹

Article Engineering, Marine

Hybrid-driven vessel trajectory prediction based on uncertainty fusion

Xin Liu et al.

Summary: This paper proposes a novel hybrid-driven approach for predicting the trajectories of maritime vessels, which combines data-driven prediction and vessel motion estimation uncertainty fusion to achieve more accurate and reliable predictions.

OCEAN ENGINEERING (2022)

添加到收藏夹

Article Engineering, Marine

MASS autonomous navigation system based on AIS big data with dueling deep Q networks prioritized replay reinforcement learning

Miao Gao et al.

Summary: This study proposes a MASS autonomous navigation system based on the ship automatic identification system (AIS) big data, using the Dueling-DQNPR network and a reward mechanism for training in a navigation environment. Simulation training shows that the system enables the MASS to reach its destination successfully.

OCEAN ENGINEERING (2022)

添加到收藏夹

Article Chemistry, Multidisciplinary

A New Method of Inland Water Ship Trajectory Prediction Based on Long Short-Term Memory Network Optimized by Genetic Algorithm

Long Qian et al.

Summary: This paper introduces the use of deep long short-term memory network framework and genetic algorithm to predict the trajectory of inland water ships. The experimental results show that this method can effectively improve the accuracy and speed of trajectory prediction.

APPLIED SCIENCES-BASEL (2022)

添加到收藏夹

Article Engineering, Marine

Ship trajectory planning for collision avoidance using hybrid ARIMA-LSTM models

Misganaw Abebe et al.

Summary: This study proposes a hybrid ARIMA-LSTM model for predicting ship trajectories using AIS data, addressing the limitations of previous approaches in terms of accuracy and complexity. The results demonstrate that the proposed model can accurately estimate near-future trajectories and evaluate collision risks.

OCEAN ENGINEERING (2022)

添加到收藏夹

Article Engineering, Marine

Multi-ship encounter situation adaptive understanding by individual navigation intention inference

Shaobo Wang et al.

Summary: The paper introduces an adaptive understanding model for multi-ship encounter situations, which analyzes and infers the navigation intentions of ships in the same scenarios, showing good performance under complex multi-ship encounter situations.

OCEAN ENGINEERING (2021)

添加到收藏夹

Article Engineering, Marine

A novel MP-LSTM method for ship trajectory prediction based on AIS data

Da-wei Gao et al.

Summary: Accurate prediction of ship trajectory is crucial in maritime transportation, with multi-step prediction gaining attention for its ability to predict time and position information in the future period. To overcome the complexity and low accuracy of existing methods, a physical hypothesis is introduced to balance the two, resulting in higher prediction accuracy. The proposed method combines the advantages of TPNet and LSTM, involving AIS data preprocessing, destination and support point solutions, and uncertainty analysis.

OCEAN ENGINEERING (2021)

添加到收藏夹

Article Engineering, Ocean

Developing a Ship Collision Risk Index estimation model based on Dempster-Shafer theory

Misganaw Abebe et al.

Summary: This study proposes a new method that combines machine learning with D-S theory to enhance the efficiency and accuracy of calculating Collision Risk Index (CRI). The findings suggest that the gradient boosting regression (GBR) model outperforms D-S theory in estimating collision risk and speeding up calculations. Simulation results demonstrate the effectiveness of this approach in making early decisions to avoid collisions while complying with COLREG rules.

APPLIED OCEAN RESEARCH (2021)

添加到收藏夹

Article Engineering, Marine

Joint optimization of ship scheduling and speed reduction: A new strategy considering high transport efficiency and low carbon of ships in port

Zicheng Xia et al.

Summary: The study proposed a new emission reduction method that combines scheduling optimization and ship speed reduction. Through experiments with practical data in ports, it has been shown to effectively reduce ship emissions and improve traffic efficiency.

OCEAN ENGINEERING (2021)

添加到收藏夹

Article Engineering, Marine

Multi-Ship Collision Avoidance Decision-Making Based on Collision Risk Index

Yingjun Hu et al.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2020)

添加到收藏夹

Article Engineering, Marine

Ship collision avoidance anthropomorphic decision-making for structured learning based on AIS with Seq-CGAN

Miao Gao et al.

OCEAN ENGINEERING (2020)

添加到收藏夹

Article Public, Environmental & Occupational Health

Modeling lane-transgressing behavior of e-bike riders on road sections with marked bike lanes: A survival analysis approach

Sirui Nan et al.

TRAFFIC INJURY PREVENTION (2020)

添加到收藏夹

Article Computer Science, Information Systems

ST-Seq2Seq: A Spatio-Temporal Feature-Optimized Seq2Seq Model for Short-Term Vessel Trajectory Prediction

Lan You et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Engineering, Marine

Ship trajectory uncertainty prediction based on a Gaussian Process model

H. Rong et al.

OCEAN ENGINEERING (2019)

添加到收藏夹

Article Engineering, Marine

Data-driven based automatic maritime routing from massive AIS trajectories in the face of disparity

Shu-kai Zhang et al.

OCEAN ENGINEERING (2018)

添加到收藏夹

Review Engineering, Marine

Review of ship safety domains: Models and applications

Rafal Szlapczynski et al.

OCEAN ENGINEERING (2017)

添加到收藏夹

Article Engineering, Civil

Bayesian Analysis of Behaviors and Interactions for Situation Awareness in Transportation Systems

Francesco Castaldo et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)

添加到收藏夹

Article Engineering, Marine

An advanced method for detecting possible near miss ship collisions from AIS data

Weibin Zhang et al.

OCEAN ENGINEERING (2016)

添加到收藏夹

Article Engineering, Marine

A method for detecting possible near miss ship collisions from AIS data

Weibin Zhang et al.

OCEAN ENGINEERING (2015)

添加到收藏夹

Article Engineering, Marine

Numerical predictions of ship-to-ship interaction in shallow water

Lu Zou et al.

OCEAN ENGINEERING (2013)

添加到收藏夹

Article Engineering, Marine

Computation of Ship Hydrodynamic Interaction Forces in Restricted Waters using Potential Theory

Xueqian Zhou et al.

JOURNAL OF MARINE SCIENCE AND APPLICATION (2012)

添加到收藏夹

Article Engineering, Marine

Study on collision avoidance in busy waterways by using AIS data

Jun Min Mou et al.

OCEAN ENGINEERING (2010)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Modifications of the Helbing-Molnar-Farkas-Vicsek social force model for pedestrian evolution

TI Lakoba et al.

SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL (2005)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.