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Measuring Pedestrians’ Gap Acceptance When Interacting with Vehicles - A Human Gait Oriented Approach

Theobald, Nina ; Joisten, Philip ; Abendroth, Bettina
Hrsg.: Stephanidis, Constantine ; Antona, Margherita ; Ntoa, Stavroula (2022)
Measuring Pedestrians’ Gap Acceptance When Interacting with Vehicles - A Human Gait Oriented Approach.
24th International Conference on Human-Computer Interaction, HCII 2022. Virtual Event (26.06.2022-01.07.2022)
doi: 10.1007/978-3-031-06394-7_33
Konferenzveröffentlichung, Bibliographie

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Kurzbeschreibung (Abstract)

A significant variable describing the pedestrians’ behavior when interacting with vehicles is gap acceptance, which is the pedestrians’ choice of temporal and spatial gaps when crossing in front of vehicles. After a review of relevant approaches to measure gap acceptance used in studies, this paper presents a novel approach, which is suitable for the usage in field experiments and allows a natural crossing behavior of subjects. In particular, following a detailed analysis of forces exerted during human gait, an algorithm was developed that is capable of identifying the accurate temporal point at which subjects start crossing as the basis for calculating gap acceptance. Pretest results show the system’s stability and reliability as well as the gait algorithm’s robustness in determining the correct gap acceptance value. The human gait oriented approach can serve as a basis for designing interaction processes between pedestrians and automated vehicles that are a focus of current research efforts.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Herausgeber: Stephanidis, Constantine ; Antona, Margherita ; Ntoa, Stavroula
Autor(en): Theobald, Nina ; Joisten, Philip ; Abendroth, Bettina
Art des Eintrags: Bibliographie
Titel: Measuring Pedestrians’ Gap Acceptance When Interacting with Vehicles - A Human Gait Oriented Approach
Sprache: Englisch
Publikationsjahr: 2022
Ort: Cham
Verlag: Springer
Buchtitel: HCI International 2022 Posters
Reihe: Communications in Computer and Information Science
Band einer Reihe: 1583
Veranstaltungstitel: 24th International Conference on Human-Computer Interaction, HCII 2022
Veranstaltungsort: Virtual Event
Veranstaltungsdatum: 26.06.2022-01.07.2022
DOI: 10.1007/978-3-031-06394-7_33
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Kurzbeschreibung (Abstract):

A significant variable describing the pedestrians’ behavior when interacting with vehicles is gap acceptance, which is the pedestrians’ choice of temporal and spatial gaps when crossing in front of vehicles. After a review of relevant approaches to measure gap acceptance used in studies, this paper presents a novel approach, which is suitable for the usage in field experiments and allows a natural crossing behavior of subjects. In particular, following a detailed analysis of forces exerted during human gait, an algorithm was developed that is capable of identifying the accurate temporal point at which subjects start crossing as the basis for calculating gap acceptance. Pretest results show the system’s stability and reliability as well as the gait algorithm’s robustness in determining the correct gap acceptance value. The human gait oriented approach can serve as a basis for designing interaction processes between pedestrians and automated vehicles that are a focus of current research efforts.

Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD)
Hinterlegungsdatum: 18 Jul 2022 05:32
Letzte Änderung: 03 Jul 2024 02:57
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