APS: Asses Pedestrian model Speed framework

DOI:10.4121/1d9bd062-7d3f-455b-aeaf-d8d2ebeed5d1.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: 10.4121/1d9bd062-7d3f-455b-aeaf-d8d2ebeed5d1

Datacite citation style

Sparnaaij, Martijn (2025): APS: Asses Pedestrian model Speed framework. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/1d9bd062-7d3f-455b-aeaf-d8d2ebeed5d1.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

Keywords

Computational Complexity Model assessment framework Pedestrian model speed Pedestrian models

Licence

GPL-3.0

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by Martijn Sparnaaij

This Python package contains the Python implementation of the empirical method from the Asses Pedestrian model Speed (APS) framework.

History

2025-03-06 first online, published, posted

Publisher

4TU.ResearchData

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/cad584e6-eeb5-4aac-97e6-53f87d6e578e.git "APS"

Or download the latest commit as a ZIP.