Collaborative optimization of truck scheduling in container terminals using graph theory and DDQN
Abstract The container terminal is a key node in global trade and logistics, where trucks connect quay cranes, storage yards, and vessels. Optimizing truck scheduling is crucial for enhancing port efficiency by addressing issues such as low truck utilization, excessive quay crane waiting times, and...
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| Hoofdauteurs: | , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
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Nature Portfolio
2025-02-01
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| Reeks: | Scientific Reports |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1038/s41598-025-91140-7 |
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