Data underlying the publication "A Model of the Sidewalk Salsa"
Datacite citation style:
Olger Siebinga (2024): Data underlying the publication "A Model of the Sidewalk Salsa". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/504bba81-c1fd-422a-ac21-e0dc9b8feed9.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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version 2 - 2024-09-24 (latest)
version 1 - 2024-03-01
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.
history
- 2024-03-01 first online, published, posted
publisher
4TU.ResearchData
format
*.mat, *.csv, *.pkl
funding
- Nissan Motor Co. Ltd.
- Rijksdienst voor Ondernemend Nederland (RVO), grant TKI2012P01 (grant code TKI2012P01) Rijksdienst voor Ondernemend Nederland (RVO)
organizations
TU Delft, Faculty of Mechanical Engineering, Department of Cognitive Robotics
DATA
files (1)
- 772,980,868 bytesMD5:
709a07384106cabec102de598bb2164e
sidewalk_simulation.zip -
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