Presentation
Where to look? A Review of External Autonomous Vehicle Signaling to Increase Pedestrian Safety
SessionPoster Session 1
DescriptionAutonomous vehicles (AVs) present significant pedestrian interaction challenges because they lack the explicit communication cues used by human drivers, such as eye contact or hand gestures. External human-machine interfaces (eHMIs) aim to bridge this communication gap by visually or otherwise signaling AV intentions to pedestrians. This scoping review analyzed recent studies, prioritizing those using VR, immersive environments, or field tests, to assess impacts of various eHMI designs on pedestrian crossing and subjective satisfaction metrics. Findings reveal that while any eHMI generally improves crossing decisions, text-based displays offer the best clarity, whereas flashing light bars yield the fastest reactions, though sweeping patterns can be ambiguous and pulsating flashing patterns offer enhanced clarity when the vehicle is yielding. Dynamic eHMIs explicitly showing yielding intent prove superior to static displays, enhancing safety and efficiency. Contextual factors like vehicle size and environmental cues like the presence of a zebra crossings also influence interactions. Multi-modal (e.g., visual and audio) interface results are currently mixed. Despite promising potential, further research, especially realistic field studies in complex, mixed-traffic scenarios, is important to optimize eHMI designs for reliable, widespread deployment.
Contributor
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East
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