The doi 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: 10.4121/543a7eeb-652a-40fe-8a08-2db5ff9e222b

Sparnaaij, Martijn; Campanella, Mario; Daamen, Winnie; Hoogendoorn, S.P.(Serge) (2023): PyNOMAD: A microscopic pedestrian simulation model. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/543a7eeb-652a-40fe-8a08-2db5ff9e222b.v1

Software

• Civil Engineering
• Computer Software
• Ground Transport
• Other Transport
• Engineering
• Transport
• Information and Computing Sciences

Crowd dynamics, Microscopic pedestrian model, Pedestrian modelling

GPL-3.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Martijn Sparnaaij , Mario Campanella , Winnie Daamen , S.P.(Serge) Hoogendoorn

PyNOMAD is the python version of the microscopic pedestrian simulation model NOMAD. It enables a user to model pedestrian movements in great detail.

• 2023-10-18 first online, published, posted

4TU.ResearchData

• https://doi.org/10.4233/uuid:b65e6e12-a85e-4846-9122-0bb9be47a762

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