The impact of clustered, dynamic and stochastic estimated time of arrival forecasts on the pre-and post-haulage of intermodal transport - Problem instances

Thumbnail
Count of file(s): 1
The impact of clustered dynamic and stochastic estimated time of arrival forecasts on the pre and post haulage of intermodal transport Problem instances.7z (26.58MB)
Date
Author
Type
Dataset
Metadata
Show full item record
Export
Text
BibTex
DataCite XML
JSON

Description

This data set contains the problem instances for the dynamic and stochastic Pick-up and Delivery Problem with Time Windows and clustered release dates (PDPTW-crd) from the working paper "The impact of clustered, dynamic and stochastic estimated time of arrival forecasts on the pre-and post-haulage of intermodal transport – a simulation study".

DFG subject classification

1.24-05 Operations Management und BWL-spezifische Wirtschaftsinformatik
4.41-04 Verkehrs- und Transportsysteme, Intelligenter und automatisierter Verkehr

URI

Collections

The following license files are associated with this item:

Creative Commons Attribution 4.0
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0