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 |
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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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