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: 10.4121/14046107

Sripada, Anirudh; Bazilinskyy, Pavlo; de Winter, Joost (2022): Supplementary data for the paper 'Automated vehicles that communicate implicitly: examining the use of lateral position within the lane'. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/14046107.v2

Dataset

x choose version: version 1 - 2021-05-25

• Cognitive Sciences
• Automotive Engineering

Automated driving, Crowdsourcing, Implicit communication, Vehicle movements, Vulnerable road users

CC0

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by Anirudh Sripada , Pavlo Bazilinskyy , Joost de Winter

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.

• 2021-05-25 first online

• 2022-05-03 published, posted

4TU.ResearchData

Automated vehicles that communicate implicitly: examining the use of lateral position within the lane

• 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?’).

Delft University of Technology, Faculty of Mechanical, Maritime and Materials Engineering