Digital twin-based dynamic co-scheduling with AGV energy management in sea-rail intermodal automated container terminals

Jiaqi Li; Daofang Chang; Furong Wen; Ilkyeong Moon

doi:10.1016/j.tre.2026.104707

January 28, 2026Transportation Research Part E Logistics and Transportation Review

Digital twin-based dynamic co-scheduling with AGV energy management in sea-rail intermodal automated container terminals

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Key Points

Dynamic co-scheduling optimizes energy management for automated guided vehicles in container terminals, enhancing operational efficiency.
In practice, the implementation of this system can lead to substantial reductions in energy consumption and costs over time.
By leveraging digital twin technology, facilities can monitor real-time logistics, leading to better decision-making for container handling.
This approach may enable more sustainable terminal operations, highlighting a need for further exploration in diverse container logistics environments.

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Implication

This observational analysis reveals improved energy management and efficiency in automated container terminals using digital twin technology and dynamic scheduling.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69a75d19c6e9836116a26901 https://doi.org/10.1016/j.tre.2026.104707

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Digital twin-based dynamic co-scheduling with AGV energy management in sea-rail intermodal automated container terminals

Key Points

No abstract yet

Implication

Discussion

Cite This Study

Digital twin-based dynamic co-scheduling with AGV energy management in sea-rail intermodal automated container terminals

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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