Supplementary data for the paper 'Automated vehicles that communicate implicitly: examining the use of lateral position within the lane'
Datacite citation style:
Sripada, Anirudh; Bazilinskyy, Pavlo; de Winter, Joost (2021): Supplementary data for the paper 'Automated vehicles that communicate implicitly: examining the use of lateral position within the lane'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14046107.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2022-05-03 (latest)
version 1 - 2021-05-25
It may be necessary to introduce new modes of communication between automated vehicles (AVs) and pedestrians. This research proposes using the AV’s lateral deviation within the lane to communicate if the AV will yield to the pedestrian. In an online experiment, animated video clips depicting an approaching AV were shown to participants. Each of 1104 participants viewed 28 videos twice in random order. The videos differed in deviation magnitude, deviation onset, turn indicator usage, and deviation-yielding mapping. Participants had to press and hold a key as long as they felt safe to cross, and report the perceived intuitiveness of the AV’s behaviour after each trial. The results showed that the AV moving towards the pedestrian to indicate yielding and away to indicate continuing driving was more effective than the opposite combination. Furthermore, the turn indicator was regarded as intuitive for signalling that the AV will yield.
history
- 2021-05-25 first online, published, posted
publisher
4TU.ResearchData
associated peer-reviewed publication
Automated vehicles that communicate implicitly: examining the use of lateral position within the lane
funding
- This research is supported by the Netherlands Organisation for Scientific Research (NWO) by grant 016.Vidi.178.047 (‘How should automated vehicles communicate with other road users?’).
organizations
Delft University of Technology, Faculty of Mechanical, Maritime and Materials Engineering
DATA
files (2)
- 1,244 bytesMD5:
023c8a27d011f1a193f93e6d6aa69e3a
readme.txt - 721,969,349 bytesMD5:
1f1bce1909c904058407ff00af1f3f8e
Supplementary material.zip -
download all files (zip)
721,970,593 bytes unzipped