Data underlying the publication "A Model of the Sidewalk Salsa"

doi: 10.4121/504bba81-c1fd-422a-ac21-e0dc9b8feed9.v1
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: 10.4121/504bba81-c1fd-422a-ac21-e0dc9b8feed9
Datacite citation style:
Olger Siebinga (2024): Data underlying the publication "A Model of the Sidewalk Salsa". Version 1. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

This dataset contains simulated pedestrian interactions on a sidewalk. The model presented in the paper "A Model of the Sidewalk Salsa" was simulated in five scenarios, each in 100 trials. The model shows the sidewalk salsa, an awkward interaction where two pedestrians plan to move to the same side to avoid a conflict multiple times, in some of these scenarios. In other scenarios, the data represents behavior comparable to what was observed in real-world pedestrian interactions.

  • 2024-03-01 first online, published, posted
*.mat, *.csv, *.pkl
  • Nissan Motor Co. Ltd.
  • Rijksdienst voor Ondernemend Nederland (RVO), grant TKI2012P01 (grant code TKI2012P01) Rijksdienst voor Ondernemend Nederland (RVO)
TU Delft, Faculty of Mechanical Engineering, Department of Cognitive Robotics


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