Interterminal Transport Datasetdoi:10.34820/FK2/08AFQKTelkom University Dataverse2022-04-051NUR ADI, TAUFIK, 2022, "Interterminal Transport Dataset", https://doi.org/10.34820/FK2/08AFQK, Telkom University Dataverse, V1Interterminal Transport Datasetdoi:10.34820/FK2/08AFQKNUR ADI, TAUFIKTelkom University DataverseNUR ADI, TAUFIKNUR ADI, TAUFIK2022-04-05Computer and Information ScienceEngineeringOtherThis 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.2017.29.2.354CC0 WaiverAdi, T.N.; Iskandar, Y.A.; Bae, H. Interterminal Truck Routing Optimization Using Deep Reinforcement Learning. Sensors 2020, 20, 5794. https://doi.org/10.3390/s20205794Datasets_ITTRP.txtThis 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.2017.29.2.354text/plain