Comfort-oriented driving: performance comparison between human drivers and motion planners (Dataset)

doi: 10.4121/21947618.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: 10.4121/21947618
Datacite citation style:
Yanggu Zheng; Shyrokau, B. (Barys) (2023): Comfort-oriented driving: performance comparison between human drivers and motion planners (Dataset). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21947618.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
usage stats
521
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78
downloads
geolocation
lat (N): 52.065960
lon (E): 4.822305
view on openstreetmap
time coverage
September 2022

The name of the dataset is derived from 'WOerden West Experiment on human Driving performance'. It contains 14 MAT files, each with the data of a recorded run from our on-road driving experiment with publicly recruited participants. The details of the study are described in an article currently in review at IEEE Transactions on Intelligent Transportation Systems. A link to the article will be added once it is available online. In each file, there are 5 struct variables: 'GPS', 'IMU', 'EST', 'Opt_AC' and 'Opt_MS'. GPS and IMU contain the raw measurement data from onboard sensors. EST is the optimal estimate of vehicle motion calculated from the measurements using the numerical optimization technique. Opt_AC and Opt_MS are the optimal motion profiles computed by our optimization-based motion planners, the former focusing on optimizing acceleration comfort while the latter on minimizing motion sickness.

history
  • 2023-01-26 first online, published, posted
publisher
4TU.ResearchData
format
MAT files for MATLAB
funding
  • Benchmarking of Wheel Corner Concepts Towards Optimal Comfort by Automated Driving (grant code 872907) [more info...] European Commission
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of Cognitive Robotics.

DATA

files (1)