Fuel-saving route planning with data-driven and learning-based approaches: A systematic solution for harbor tugs

Fuel-saving route planning with data-driven and learning-based approaches: A systematic solution for harbor tugs

In recent years, there are trends toward cleaner port environments through enforcement by imposed legislation. Transit optimisation of fuel-based port service boats like harbour tugs has emerged as a critical task to reduce fuel consumption and carbon emission. In this paper, an innovative learning-...

Full description

Saved in:
Bibliographic Details
Main Authors: WANG, Shengming, ZHANG, Xiaocai, LI, Jing, WEI, Xiaoyang, LAU, Hoong Chuin, DAI, Bing Tian, HUANG, Binbin Huang, XIAO, Zhe, FU, Xiuju, QIN, Zheng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/9364
https://ink.library.smu.edu.sg/context/sis_research/article/10364/viewcontent/0828_pvoa.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/9364
https://ink.library.smu.edu.sg/context/sis_research/article/10364/viewcontent/0828_pvoa.pdf

Similar Items