Print Email Facebook Twitter Dynamic rolling horizon scheduling of waterborne AGVs for inter terminal transport Title Dynamic rolling horizon scheduling of waterborne AGVs for inter terminal transport Author Zheng, Huarong (Zhejiang University) Jin, Chen (Beihang University) Luo, Xiling (Beihang University) Negenborn, R.R. (TU Delft Transport Engineering and Logistics) Wang, Yuexuan (Zhejiang University) Date 2020 Abstract The demand for transport between terminals within port areas, known as inter terminal transport (ITT), is increasing. This paper proposes a dynamic rolling horizon scheduling strategy for ITT using waterborne Autonomous Guided Vessels (waterborne AGVs). The strategy is dynamic in that it can handle the dynamically arriving ITT requests and adapt transport schedules accordingly in real time. Specifically, every certain period of time, we formulate and solve a pick-up and delivery problem considering the dynamic vessel states, waterway network topology, and ITT requests over a future time horizon. In the dynamic setting, waterborne AGVs are allowed to divert from the previously scheduled destination. Moreover, the distances between terminals are not calculated simply as the Euclidean metric but based on the complex port waterway network, which complicates the dynamic problem even more. Time windows of ITT requests, capacity constraints of waterborne AGVs and load/unload service times at terminals are also taken into account. A waterborne ITT transport network in the Port of Rotterdam is constructed. Simulation results demonstrate the effectiveness of the proposed dynamic scheduling strategy. Subject Vehicle dynamicsDynamic schedulingContainersRoutingReal-time systemsEuclidean distanceTask analysis To reference this document use: http://resolver.tudelft.nl/uuid:fe5749fe-a392-45a9-aa97-564f6df20564 DOI https://doi.org/10.1109/ICCA51439.2020.9264557 Publisher IEEE, Piscataway, NJ, USA ISBN 978-1-7281-9093-8 Source Proceedings of the IEEE 16th International Conference on Control and Automation, ICCA 2020 Event 16th IEEE International Conference on Control and Automation, ICCA 2020, 2020-10-09 → 2020-10-11, Virtual, Sapporo, Hokkaido, Japan Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type conference paper Rights © 2020 Huarong Zheng, Chen Jin, Xiling Luo, R.R. Negenborn, Yuexuan Wang Files PDF ICCA2020_dynamic_schedule.pdf 662.31 KB Close viewer /islandora/object/uuid:fe5749fe-a392-45a9-aa97-564f6df20564/datastream/OBJ/view