eHMI on the Vehicle or on the Infrastructure?

A Driving Simulator Study

Journal Article (2024)
Authors

Shiva Nischal Lingam (Student TU Delft, Royal HaskoningDHV)

J.C.F. Winter (TU Delft - Human-Robot Interaction)

Yongqi Dong (Transport and Planning)

Anastasia Tsapi (Royal HaskoningDHV)

B. van van Arem (TU Delft - Transport, Mobility and Logistics)

H. Farah (TU Delft - Traffic Systems Engineering)

Research Group
Human-Robot Interaction
To reference this document use:
https://doi.org/10.59490/ejtir.2024.24.2.7273
More Info
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Publication Year
2024
Language
English
Research Group
Human-Robot Interaction
Issue number
2
Volume number
24
Pages (from-to)
1-24
DOI:
https://doi.org/10.59490/ejtir.2024.24.2.7273
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Abstract

Automated vehicles (AVs) may require the implementation of an external human-machine interface (eHMI) to communicate their intentions to human-driven vehicles. The optimal placement of the eHMI, either on the AV itself or as part of the road infrastructure, remains undetermined. The current driving simulator study investigated the effect of eHMI positioning on human driving behaviour, during the approach and execution of right turns at T-intersections. Forty-three participants drove under three conditions: absence of eHMI, eHMI on the AV (eHMIv), and eHMI integrated into the infrastructure (eHMIi). Participants encountered AVs that either yielded or did not yield to their vehicles. The results regarding the placement of the eHMI showed that both concepts are advantageous, but for different reasons. eHMIv was appreciated because implicit and explicit communication are congruent, although the AV must first be visually identified to respond to it. eHMIi was appreciated because a familiar cue is always at a known location in the environment; as a result, participants braked earlier for the intersection and came less close to the AV (which can be interpreted as a safety advantage or an efficiency disadvantage). Although there are limitations to the current driving simulator study, this research provides important insights into the fundamental question of how information placement affects drivers’ visual attention demands and driving behaviour, topics that are important in view of the development of future cities.