Code underlying the publication: Dispatching a fleet of electric towing vehicles for aircraft taxiing with conflict avoidance and efficient battery charging

DOI:10.4121/1899712f-7588-4521-b5aa-cf81e58e938e.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/1899712f-7588-4521-b5aa-cf81e58e938e
Datacite citation style:
van Oosterom, Simon (2025): Code underlying the publication: Dispatching a fleet of electric towing vehicles for aircraft taxiing with conflict avoidance and efficient battery charging. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/1899712f-7588-4521-b5aa-cf81e58e938e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

This repository contains the code developed for scheduling simulations for electric towing vehicles (ETVs). It is applied to Amsterdam Airport Schiphol. This code was developed at Delft University of Technology, as part of Simon van Oosterom's PhD Thesis project (2025). It is being made public both to act as supplementary data for publications and the PhD thesis of Simon van Oosterom, and in order for other researchers to use this repository in their own work.

History

  • 2025-02-12 first online, published, posted

Publisher

4TU.ResearchData

Format

.py, .json

Funding

  • Advanced Engine Off Navigation (grant code 892869) [more info...] European Commission

Organizations

TU Delft, Faculty of Aerospace Engineering, Department of Control and Operations

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/78f33eba-0629-4271-b6a3-ec28f1569320.git "etv_routing_assignment"

Or download the latest commit as a ZIP.