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 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/1255994c-c64f-40f5-8121-9e952e308c9a.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 4 - 2024-10-15 (latest)
version 3 - 2024-08-14
version 2 - 2023-08-30
version 1 - 2023-05-31
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
- 2023-08-30 published, posted
publisher
4TU.ResearchData
format
zipped files of 6 .zarr trajectory folders and 3 .csv index files, 2 .npz driver id files, and an extra readme.md file
associated peer-reviewed publication
Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles
funding
- MiRRORs (grant code 16270) NWO/TTW
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, department of Transport & Planning
DATA
files (4)
- 2,684 bytesMD5:
818798b6f29d75cc412d9f22e8bcc4eb
readme.md - 809,252,826 bytesMD5:
167e135b59b02c34b5023c2883817e8b
CarFollowing.zip - 18,422 bytesMD5:
a42e98c83ebbd4ad96e847a05b2df829
driver_id_train_HA.npz - 2,376 bytesMD5:
b373f43081720e658e9c70b49fa8ed4d
driver_id_val_HA.npz -
download all files (zip)
809,276,308 bytes unzipped