AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

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

Published:2023-07 Issue: Volume:175 Page:103152
ISSN:1366-5545
Container-title:Transportation Research Part E: Logistics and Transportation Review
language:en
Short-container-title:Transportation Research Part E: Logistics and Transportation Review

Author:

Li Huanhuan,Jiao Hang,Yang Zaili

Funder

ERC

Royal Society

European Research Council

Publisher

Elsevier BV

Subject

Transportation,Business and International Management,Civil and Structural Engineering

Reference103 articles.

1. Machine Learning Approaches for Ship Speed Prediction towards Energy Efficient Shipping;Abebe;Appl. Sci.,2020

2. Towards Shipping 4.0. A preliminary gap analysis;Aiello;Procedia Manufacturing,2020

3. Vessel Trajectory Prediction Using Historical Automatic Identification System Data;Alizadeh;J. Navig.,2021

4. Choose clean energy or green technology? Empirical evidence from global ships;Bai;Transp. Res. Part E Logist. Transp. Rev.,2021

5. The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion;Borkowski;Sensors,2017

Cited by 43 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An instance-based transfer learning model with attention mechanism for freight train travel time prediction in the China–Europe railway express;Expert Systems with Applications;2024-10

2. Benchmarking feed-forward randomized neural networks for vessel trajectory prediction;Computers and Electrical Engineering;2024-10

3. Incentivising-by-penalty: The optimal return strategy for a reusable transport item rental platform;Transportation Research Part D: Transport and Environment;2024-09

4. COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making;Knowledge-Based Systems;2024-09

5. Incorporation of energy-consumption optimization into multi-objective and robust port multi-equipment integrated scheduling;Transportation Research Part C: Emerging Technologies;2024-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3