Enhancing Electric Interterminal Transport: A Truck Decoupling System With Early Information on Arrivals.
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| Title: | Enhancing Electric Interterminal Transport: A Truck Decoupling System With Early Information on Arrivals. |
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| Authors: | Brunetti, Matteo1 (AUTHOR) m.brunetti@utwente.nl, Lalla-Ruiz, Eduardo1 (AUTHOR), Mes, Martijn1 (AUTHOR), Liang, Jinhao1 (AUTHOR) jh.liang@nus.edu.sg |
| Source: | Journal of Advanced Transportation. 4/3/2026, Vol. 2026, p1-33. 33p. |
| Subjects: | Electric vehicles, Discrete event simulation, Carbon dioxide mitigation, Containerization, Warehouses, Truck loading & unloading |
| Geographic Terms: | Netherlands |
| Abstract: | We focus on the design of a truck decoupling system employing interterminal transport (ITT) vehicles at a logistics node, such as a port or business park. We assume the node faces a stochastic flow of trucks delivering and retrieving containers from logistics companies (LCs), i.e., warehouses and terminals. During peak hours, trucks may stop at a parking area, where the ITT fleet, composed of manned or automated electric vehicles, takes over container transport between the parking area and the LCs. The decoupling decision determines whether trucks should proceed to their LC, park, or decouple. The decision model is based on several parameters, such as the estimated workload of the ITT fleet over a time window. We assess the decision model using a discrete event simulation model of the Port of Moerdijk, The Netherlands. This allows experimenting with various arrival patterns, earliness of information, the charging infrastructure, and decoupling decision parameters. The simulation model involves realistic traffic behavior, six decoupling scenarios, and more than 130 LCs. Through parameter calibration, the decision model capitalizes on early information to reduce truck turnaround time and truck‐driven kilometers by up to 19%, preventing 14.4 metric tons of CO2eq emissions per day and reducing the share of late containers by up to 10%. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 192765106 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing Electric Interterminal Transport: A Truck Decoupling System With Early Information on Arrivals. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Brunetti%2C+Matteo%22">Brunetti, Matteo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> m.brunetti@utwente.nl</i><br /><searchLink fieldCode="AR" term="%22Lalla-Ruiz%2C+Eduardo%22">Lalla-Ruiz, Eduardo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mes%2C+Martijn%22">Mes, Martijn</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Jinhao%22">Liang, Jinhao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jh.liang@nus.edu.sg</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Advanced+Transportation%22">Journal of Advanced Transportation</searchLink>. 4/3/2026, Vol. 2026, p1-33. 33p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+event+simulation%22">Discrete event simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+dioxide+mitigation%22">Carbon dioxide mitigation</searchLink><br /><searchLink fieldCode="DE" term="%22Containerization%22">Containerization</searchLink><br /><searchLink fieldCode="DE" term="%22Warehouses%22">Warehouses</searchLink><br /><searchLink fieldCode="DE" term="%22Truck+loading+%26+unloading%22">Truck loading & unloading</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Netherlands%22">Netherlands</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We focus on the design of a truck decoupling system employing interterminal transport (ITT) vehicles at a logistics node, such as a port or business park. We assume the node faces a stochastic flow of trucks delivering and retrieving containers from logistics companies (LCs), i.e., warehouses and terminals. During peak hours, trucks may stop at a parking area, where the ITT fleet, composed of manned or automated electric vehicles, takes over container transport between the parking area and the LCs. The decoupling decision determines whether trucks should proceed to their LC, park, or decouple. The decision model is based on several parameters, such as the estimated workload of the ITT fleet over a time window. We assess the decision model using a discrete event simulation model of the Port of Moerdijk, The Netherlands. This allows experimenting with various arrival patterns, earliness of information, the charging infrastructure, and decoupling decision parameters. The simulation model involves realistic traffic behavior, six decoupling scenarios, and more than 130 LCs. Through parameter calibration, the decision model capitalizes on early information to reduce truck turnaround time and truck‐driven kilometers by up to 19%, preventing 14.4 metric tons of CO2eq emissions per day and reducing the share of late containers by up to 10%. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/atr/8968454 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 33 StartPage: 1 Subjects: – SubjectFull: Electric vehicles Type: general – SubjectFull: Discrete event simulation Type: general – SubjectFull: Carbon dioxide mitigation Type: general – SubjectFull: Containerization Type: general – SubjectFull: Warehouses Type: general – SubjectFull: Truck loading & unloading Type: general – SubjectFull: Netherlands Type: general Titles: – TitleFull: Enhancing Electric Interterminal Transport: A Truck Decoupling System With Early Information on Arrivals. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Brunetti, Matteo – PersonEntity: Name: NameFull: Lalla-Ruiz, Eduardo – PersonEntity: Name: NameFull: Mes, Martijn – PersonEntity: Name: NameFull: Liang, Jinhao IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 04 Text: 4/3/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01976729 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: Journal of Advanced Transportation Type: main |
| ResultId | 1 |
