Data underlying the publication: "Modelling Driver Expectations for Safe Speeds on Freeway Curves using Bayesian Belief Networks"

doi:10.4121/a59fcc0f-4603-490a-b0b8-8b2287141e30.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/a59fcc0f-4603-490a-b0b8-8b2287141e30
Datacite citation style:
Vos, Johan; Haneen Farah; Hagenzieker, M.P. (Marjan) (2024): Data underlying the publication: "Modelling Driver Expectations for Safe Speeds on Freeway Curves using Bayesian Belief Networks". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a59fcc0f-4603-490a-b0b8-8b2287141e30.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This research employs a Bayesian Belief Network to model driver expectations using measured speeds in 153 curves and data on the characteristics of the curve approaches. The data used as input for the Baysian Belief Network is shared here. It contains visual cues such as the direction of a curve, preceding roadway configuration, number of lanes and signs, along with measured 85th percentile speeds.

history
  • 2024-07-29 first online, published, posted
publisher
4TU.ResearchData
format
.csv
organizations
TU Delft, Faculty of Civil Engineering and Geoscience, Department of Transport and Planning

DATA

files (2)