An eHMI Presenting Request-to-Intervene and Takeover Status of Level 3 Automated Vehicles to Support Surrounding Traffic Safety
Hailong Liu, Masaki Kuge, Toshihiro Hiraoka, Takahiro Wada

TL;DR
This study introduces an external human-machine interface (eHMI) for Level 3 automated vehicles that clearly communicates takeover requests, significantly improving surrounding drivers' understanding, safety responses, and reducing accident risk.
Contribution
The paper proposes a novel eHMI design that externalizes takeover status using light signals, enhancing safety and communication during critical AV takeover scenarios.
Findings
eHMI C+O improved drivers' understanding of AV intentions
It increased drivers' confidence and earlier response times
Significantly reduced accident odds by 76.8% in simulations
Abstract
Level 3 automated vehicles (AVs) issue a request to intervene (RtI) when the automated driving system approaches its system limitations. Although this takeover transition is safety-critical, it is usually invisible to surrounding manually driven vehicle (MV) drivers. This study proposes an external human-machine interface (eHMI) called eHMI C+O that externalizes the RtI-related takeover status of a Level~3 AV using cyan and orange light bars. A driving-simulator experiment with 40 participants examined whether the proposed eHMI supports surrounding MV drivers during AV takeover scenarios. The results showed that, compared with the ADS-status-only eHMI condition, which is similar to ``Automated Driving Marker Lights,'' and the no-eHMI condition, the proposed eHMI C+O significantly improved participants' understanding of the AV's driving intention, their prediction of its behavior, and…
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