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

Theobald, Nina ; Joisten, Philip ; Abendroth, Bettina (2022):
Measuring Pedestrians’ Gap Acceptance When Interacting with Vehicles - A Human Gait Oriented Approach. (Postprint)
In: Communications in Computer and Information Science, 1583, In: HCI International 2022 Posters, pp. 251-258,
Darmstadt, Springer, 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, 26.06.-01.07.2022, ISBN 978-3-031-06394-7,
DOI: 10.26083/tuprints-00021864,
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Item Type: Conference or Workshop Item
Origin: Secondary publication service
Status: Postprint
Title: Measuring Pedestrians’ Gap Acceptance When Interacting with Vehicles - A Human Gait Oriented Approach
Language: English
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.

Book Title: HCI International 2022 Posters
Series: Communications in Computer and Information Science
Series Volume: 1583
Place of Publication: Darmstadt
Publisher: Springer
Collation: 8 Seiten
Uncontrolled Keywords: Gap acceptance, Pedestrian, Vehicle, Human gait
Classification DDC: 300 Sozialwissenschaften > 380 Handel, Kommunikation, Verkehr
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 16 Department of Mechanical Engineering > Ergonomics (IAD)
Event Title: 24th International Conference on Human-Computer Interaction, HCII 2022
Event Location: Virtual Event
Event Dates: 26.06.-01.07.2022
Date Deposited: 09 Sep 2022 13:42
Last Modified: 13 Dec 2022 08:22
DOI: 10.26083/tuprints-00021864
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-218647
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/21864
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