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Pedestrians’ Crossing Decisions While Interacting with Automated Vehicles – Insights from a Longitudinal Study

Joisten, Philip ; Theobald, Nina ; Abendroth, Bettina (2023)
Pedestrians’ Crossing Decisions While Interacting with Automated Vehicles – Insights from a Longitudinal Study.
New York (24.07.2022 - 28.07.2022)
doi: 10.26083/tuprints-00023817
Conference or Workshop Item, Secondary publication, Publisher's Version

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Item Type: Conference or Workshop Item
Type of entry: Secondary publication
Title: Pedestrians’ Crossing Decisions While Interacting with Automated Vehicles – Insights from a Longitudinal Study
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 2022
Publisher: AHFE International
Book Title: Human Factors in Transportation : Proceedings of 13th AHFE International Conference on Human Factors in Transportation
Series: Advances in Transportation
Series Volume: 60
Event Location: New York
Event Dates: 24.07.2022 - 28.07.2022
DOI: 10.26083/tuprints-00023817
Corresponding Links:
Origin: Secondary publication service
Abstract:

The decisions of pedestrians when crossing in front of automated vehicles (AVs) have been studied under the usage of external human machine interfaces (eHMIs) as explicit means of communication between AVs and other road users. Long-term effects of AV and eHMI exposure on pedestrians’ crossing decisions have not yet been intensively researched. Therefore, a longitudinal study with three sessions and two eHMI designswas conducted in a controlled field environment with 21 participants. A participant’s decision to cross in front of an AVwas continuously measured using a hand-held device whose button was pressed when the participant felt safe to cross. Findings show that with increasing experience, pedestrians’ perceived safety to cross at close distances to a yielding AV increases when the AV is equipped with an eHMI displaying the vehicle’s status, perception and yielding intention. We conclude that when interacting with AVs, pedestrians’ perceived safety benefits from eHMIs whose impact depends on pedestrians’ experience.

Uncontrolled Keywords: Pedestrian, Crossing Decision, Automated vehicle, External human-machine interface, Longitudinal study
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-238171
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Ergonomics (IAD)
Date Deposited: 15 May 2023 10:01
Last Modified: 21 Jun 2023 11:39
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23817
PPN: 508447070
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