Large Car-following Dataset Based on Lyft level-5: Following Autonomous Vehicles vs. Human-driven Vehicles

Datacite citation style:
Li, Guopeng; Jiao, Yiru; Victor Knoop; Simeon Calvert; van Lint, Hans (2023): Large Car-following Dataset Based on Lyft level-5: Following Autonomous Vehicles vs. Human-driven Vehicles. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1255994c-c64f-40f5-8121-9e952e308c9a.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
usage stats
1871
views
1848
downloads
geolocation
Palo Alto, California, US
licence
cc-by-nc.png logo CC BY-NC 4.0

Studying how human drivers react differently when following autonomous vehicles (AV) vs. human-driven vehicles (HV) is critical for mixed traffic flow. This dataset contains extracted and enhanced two categories of car-following data, HV-following-AV (H-A) and HV-following-HV (H-H), from the open Lyft level-5 dataset.

history
  • 2023-05-31 first online, published, posted
publisher
4TU.ResearchData
format
zipped files of 6 .zarr trajectory folders and 3 .csv index files, and an extra readme.md file
funding
  • MiRRORs (grant code 16270) NWO/TTW
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, department of Transport & Planning

DATA

files (2)