Interterminal Transport Dataset (doi:10.34820/FK2/08AFQK)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Interterminal Transport Dataset

Identification Number:

doi:10.34820/FK2/08AFQK

Distributor:

Telkom University Dataverse

Date of Distribution:

2022-04-05

Version:

1

Bibliographic Citation:

NUR ADI, TAUFIK, 2022, "Interterminal Transport Dataset", https://doi.org/10.34820/FK2/08AFQK, Telkom University Dataverse, V1

Study Description

Citation

Title:

Interterminal Transport Dataset

Identification Number:

doi:10.34820/FK2/08AFQK

Authoring Entity:

NUR ADI, TAUFIK (Telkom University)

Distributor:

Telkom University Dataverse

Access Authority:

NUR ADI, TAUFIK

Depositor:

NUR ADI, TAUFIK

Date of Deposit:

2022-04-05

Study Scope

Keywords:

Computer and Information Science, Engineering, Other

Abstract:

This dataset is artificially generated. It contains container transport data consisting of origin, destination, start time window (in hours), end time window (in hours), time window duration, start time window (in minutes), and end time window (in minutes). The dataset is generated using the following settings: 1. Five locations (terminals) 2. Min. due date = 2, Max. due date = 24 3. Number of trucks = 10 4. Throughput per 6 hours = 7 containers 5. The container movement rate based on: http://dx.doi.org/10.13000/JFMSE.2017.29.2.354

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

Adi, T.N.; Iskandar, Y.A.; Bae, H. Interterminal Truck Routing Optimization Using Deep Reinforcement Learning. Sensors 2020, 20, 5794. https://doi.org/10.3390/s20205794

Other Study-Related Materials

Label:

Datasets_ITTRP.txt

Text:

This dataset is artificially generated. It contains container transport data consisting of origin, destination, start time window (in hours), end time window (in hours), time window duration, start time window (in minutes), and end time window (in minutes). The dataset is generated using the following settings: 1. Five locations (terminals) 2. Min. due date = 2, Max. due date = 24 3. Number of trucks = 10 4. Throughput per 6 hours = 7 containers 5. The container movement rate based on: http://dx.doi.org/10.13000/JFMSE.2017.29.2.354

Notes:

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