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-...
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| Main Authors: | , , , , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| 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 |
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| Institution: | Singapore Management University |
| Language: | English |