saper0 / gttp-data

Data used to produce the results in "On Modelling and Solving Collaborative Tactical Transportation Planning"

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On Modelling and Solving Green Collaborative Tactical Transportation Planning

This respository stores data about real intermodal transportation infrastructure between major cities, train stations and ports in the Danube Region. This data has been used to produce the results in our paper "On Modelling and Solving Green Collaborative Tactical Transportation Planning".

doc

This folder contains some documentation on: i) how the instances (test data) are generated by the instance generator; ii) cost and emission tables.

Further details can be found in my master thesis or in our publication (pages 76-92) at IPIC2021.

data

This folder contains distance- and time-matrices of road, rail and ship transport connections as well as the coordinates of all used locations in the Danube Region.

instance-generator

Python instance generator for the GTTP, documentation on usage accessable with python igen.py -h (developed for python 3.8 or higher).

The instances generator needs to be given distances, time and location files as for example given in the data directory. For other information on the instance generation process, please see ./doc/data.pdf and the code documentation.

instances

This folder contains all individual instances (test data) used in "On Modelling and Solving Green Collaborative Tactical Transportation Planning".

Notes

If you have any questions, please contact Lukas Gosch: gosch . lukas (at) gmail . com

Citation

If you use any of this data in your research, please consider citing our paper. You can find it online (free-access) in the draft proceedings (pages 76-92) of the IPIC2021. The final conference proceedings will be soon made available.

Lukas Gosch, Matthias Prandtstetter, Karl F. Doerner, On Modelling and Solving Green Collaborative Tactical Transportation Planning, 8th International Physical Internet Conference, June 15-16, 2021, Athens, Greece

DOI link will be provided once the proceedings are published.

Acknowledgements

This work received funding by the Austrian Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK) in the research program “Mobilität der Zukunft” under grant number 877710 (PhysICAL).

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Data used to produce the results in "On Modelling and Solving Collaborative Tactical Transportation Planning"


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