Evaluating the External Human-Machine Interface of Autonomous Vehicles on Pedestrian Safety at Mid-Block Crossings: A Virtual Reality-Enabled Simulation Study

Document Type

Conference Paper

Publication Date

2024

DOI

10.13023/2024.RSS47

Publication Title

2024 Road Safety & Simulation Conference

Pages

2 pp.

Conference Name

2024 Road Safety & Simulation Conference, October 28-31, 2024, Lexington, Kentucky

Abstract

With the emergence of autonomous vehicles (AVs) urban traffic conditions are becoming increasingly complex. The presence of AVs may pose a danger to pedestrians making mid-block crossings. As a countermeasure, the external Human-Machine Interface (eHMI) is a promising solution to enhance communication between AVs and pedestrians. This study employs virtual reality technology with built-in eye tracking to support the analysis of pedestrians' eye gaze behavior during mid-block crossings while interacting with AVs with different eHMIs. Preliminary results show that color and the types of the messages (i. e., texts vs. symbols) are critical factors to draw pedestrian attention. To gather more statistically meaningful results, tests on a larger sample of participants are planned for further study.

Rights

© 2024 University of Kentucky

"Author retains copyright and is free to reuse the content elsewhere."

Original Publication Citation

Yan, Z., Yang, H., & Wang, J. (2024). Evaluating the external human-machine interface of autonomous vehicles on pedestrian safety at mid-block crossings: A virtual reality-enabled simulation study [Conference Paper]. 2024 Road Safety & Simulation Conference, Lexington, Kentucky. https://doi.org/10.13023/2024.RSS47

ORCID

0000-0003-2808-8852 (Yang)

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