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Open Access

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

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The impact of clustered dynamic and stochastic estimated time of arrival forecasts on the pre and post haulage of intermodal transport Problem instances.zip (28.39 MB)

Date

2024-04-02

Type

Dataset

Authors

Rentschler, Johannes

Journal Title

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Abstract

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".

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Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4198
 https://doi.org/10.48328/tudatalib-1402

Endorsement

DFG Classification

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

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License

CC BY 4.0 - Attribution 4.0 International
Except where otherwise noted, this license is described as CC BY 4.0 - Attribution 4.0 International