The Prevalence of Automated Vehicles (with eHMIs) May Influence Pedestrian-Vehicle Interactions
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
The proportion of highly automated vehicles in traffic (i.e., the
prevalence of AVs) is likely to increase over time. The aim of this
study was to investigate whether the prevalence of AVs may in-
fluence how pedestrians interact with AVs and with conventional,
human-driven vehicles (CVs). A video-based laboratory study was
conducted using a two-group mixed design. Participants took the
perspective of pedestrians about to cross the road in a situation
where AVs (with eHMIs) and CVs were approaching their position.
The prevalence of AVs was manipulated between groups (low/high).
The participants indicated the moment they decided to cross in
front of the vehicles. Our results show that AV prevalence did
indeed significantly influence when participants decided to cross.
Overall, participants decided to cross earlier in front of the more
prevalent vehicle type. Therefore, taking into account the given
prevalence of AVs could significantly benefit AVs in predicting
pedestrian behavior.
prevalence of AVs) is likely to increase over time. The aim of this
study was to investigate whether the prevalence of AVs may in-
fluence how pedestrians interact with AVs and with conventional,
human-driven vehicles (CVs). A video-based laboratory study was
conducted using a two-group mixed design. Participants took the
perspective of pedestrians about to cross the road in a situation
where AVs (with eHMIs) and CVs were approaching their position.
The prevalence of AVs was manipulated between groups (low/high).
The participants indicated the moment they decided to cross in
front of the vehicles. Our results show that AV prevalence did
indeed significantly influence when participants decided to cross.
Overall, participants decided to cross earlier in front of the more
prevalent vehicle type. Therefore, taking into account the given
prevalence of AVs could significantly benefit AVs in predicting
pedestrian behavior.
Details
Original language | English |
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Title of host publication | AutomotiveUI '24: Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications |
Pages | 329 - 337 |
Number of pages | 9 |
ISBN (electronic) | 9798400705106 |
Publication status | Published - 22 Sept 2024 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0002-1751-3342/work/168204906 |
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ORCID | /0009-0005-4858-5305/work/168206893 |
Keywords
ASJC Scopus subject areas
Keywords
- explicit communication, human-robot interaction, market penetration, vulnerable road user