Datasets
Standard Dataset
Dataset for Paper Titled An Efficient Real-Time Railway Container Yard Management Method Based on Partial Decoupling
- Citation Author(s):
- Submitted by:
- Yao Luan
- Last updated:
- Sat, 09/21/2024 - 04:58
- DOI:
- 10.21227/bb48-ts98
- Data Format:
- License:
96 Views- Categories:
- Keywords:
Abstract
Sea-rail intermodal transportation is an essential infrastructure in global supply chains nowadays. Since the yard is the interface between sea and land, optimizing the transportation process in yards is of significant interest for increasing transportation efficiency. This dataset provides timetables of trains and container batches generated by a procedure that considers different arrival patterns of container batches and different problem scales, which is useful for analyzing the algorithm performance considering different arrival patterns of container batches and the scale of yard parameters. We hope this dataset could help evaluate algorithms on yard management of sea-rail intermodal transportation.
This dataset contains timetables for container batches and trains for evaluating algorithms on the yard management problem for railway container yards. Specifically, It includes data on container batches (the arrival time and the container number for each batch) and data on candidate trains (the arrival time of each candidate train). Besides, the dataset covers scenarios with different arrival patterns of container batches and cases with different scales of yard parameters, which is specifically designed to analyze the performance considering different arrival patterns of container batches and the scale of yard parameters. For detailed information on the dataset structure and usage, please refer to the README file within the data directory.
