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
Konferenzveröffentlichung, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Joisten, Philip ; Theobald, Nina ; Abendroth, Bettina |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Pedestrians’ Crossing Decisions While Interacting with Automated Vehicles – Insights from a Longitudinal Study |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2022 |
| Verlag: | AHFE International |
| Buchtitel: | Human Factors in Transportation : Proceedings of 13th AHFE International Conference on Human Factors in Transportation |
| Reihe: | Advances in Transportation |
| Band einer Reihe: | 60 |
| Veranstaltungsort: | New York |
| Veranstaltungsdatum: | 24.07.2022-28.07.2022 |
| DOI: | 10.26083/tuprints-00023817 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/23817 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Pedestrian, Crossing Decision, Automated vehicle, External human-machine interface, Longitudinal study |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-238171 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD) |
| Hinterlegungsdatum: | 15 Mai 2023 10:01 |
| Letzte Änderung: | 16 Mai 2023 05:35 |
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| Suche nach Titel in: | TUfind oder in Google |
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- Pedestrians’ Crossing Decisions While Interacting with Automated Vehicles – Insights from a Longitudinal Study. (deposited 15 Mai 2023 10:01) [Gegenwärtig angezeigt]
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