An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Yang Li
  • Hao Cheng
  • Zhe Zeng
  • Barbara Deml
  • Hailong Liu

Externe Organisationen

  • Karlsruher Institut für Technologie (KIT)
  • Universität Ulm
  • Nara Institute of Science and Technology
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Details

OriginalspracheEnglisch
Aufsatznummer100845
FachzeitschriftTransportation Research Interdisciplinary Perspectives
Jahrgang20
Frühes Online-Datum29 Mai 2023
PublikationsstatusVeröffentlicht - Juli 2023

Abstract

Bottleneck roads with narrowed width often only allow one vehicle to pass at once. In this situation, human drivers need to negotiate their right-of-way via, e.g., hand gestures and eye contact. However, when a human-driven vehicle (MV) confronts a driver-less automated vehicle (AV), explicit communication between drivers is no longer possible. External human–machine interfaces (eHMIs) on AVs may facilitate communication in unobscured situations, but MV-drivers can fail to perceive the eHMI information on the AV with other vehicles in front of the AV, blocking the MV's view. Even if the visibility is not impaired, AV broadcast communications do not target on specific receivers, it is not unlikely that other vehicles may wrongly perceive this information. Instead, an internal human–machine interface (iHMI) can uni-cast the AV intention to MVs since the information on iHMIs is direct to MV-drivers and visible in visibility-blocked situations. However, iHMIs require vehicle-to-vehicle communication technology, and the conveyed information might not be highly trusted as the information is transmitted to MVs rather than being seen directly from AVs. Therefore, this paper proposes a synchronous iHMI+eHMI method for a more unambiguous communication in this multi-vehicle bottleneck road situation. The designed iHMI+eHMI is compared with the baseline i. e., without HMI, iHMI, and eHMI in a video-based driving simulation by subjective evaluations from structured questionnaires. The results (N=24) indicate that HMIs (iHMI, eHMI, and iHMI+eHMI) are more helpful than vehicles without any HMI for the AV-MV communication, and iHMI+eHMI achieves the best performance when the views of MV-drivers are obscured.

ASJC Scopus Sachgebiete

Ziele für nachhaltige Entwicklung

Zitieren

An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road. / Li, Yang; Cheng, Hao; Zeng, Zhe et al.
in: Transportation Research Interdisciplinary Perspectives, Jahrgang 20, 100845, 07.2023.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Li, Y, Cheng, H, Zeng, Z, Deml, B & Liu, H 2023, 'An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road', Transportation Research Interdisciplinary Perspectives, Jg. 20, 100845. https://doi.org/10.1016/j.trip.2023.100845
Li, Y., Cheng, H., Zeng, Z., Deml, B., & Liu, H. (2023). An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road. Transportation Research Interdisciplinary Perspectives, 20, Artikel 100845. https://doi.org/10.1016/j.trip.2023.100845
Li Y, Cheng H, Zeng Z, Deml B, Liu H. An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road. Transportation Research Interdisciplinary Perspectives. 2023 Jul;20:100845. Epub 2023 Mai 29. doi: 10.1016/j.trip.2023.100845
Li, Yang ; Cheng, Hao ; Zeng, Zhe et al. / An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road. in: Transportation Research Interdisciplinary Perspectives. 2023 ; Jahrgang 20.
Download
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title = "An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road",
abstract = "Bottleneck roads with narrowed width often only allow one vehicle to pass at once. In this situation, human drivers need to negotiate their right-of-way via, e.g., hand gestures and eye contact. However, when a human-driven vehicle (MV) confronts a driver-less automated vehicle (AV), explicit communication between drivers is no longer possible. External human–machine interfaces (eHMIs) on AVs may facilitate communication in unobscured situations, but MV-drivers can fail to perceive the eHMI information on the AV with other vehicles in front of the AV, blocking the MV's view. Even if the visibility is not impaired, AV broadcast communications do not target on specific receivers, it is not unlikely that other vehicles may wrongly perceive this information. Instead, an internal human–machine interface (iHMI) can uni-cast the AV intention to MVs since the information on iHMIs is direct to MV-drivers and visible in visibility-blocked situations. However, iHMIs require vehicle-to-vehicle communication technology, and the conveyed information might not be highly trusted as the information is transmitted to MVs rather than being seen directly from AVs. Therefore, this paper proposes a synchronous iHMI+eHMI method for a more unambiguous communication in this multi-vehicle bottleneck road situation. The designed iHMI+eHMI is compared with the baseline i. e., without HMI, iHMI, and eHMI in a video-based driving simulation by subjective evaluations from structured questionnaires. The results (N=24) indicate that HMIs (iHMI, eHMI, and iHMI+eHMI) are more helpful than vehicles without any HMI for the AV-MV communication, and iHMI+eHMI achieves the best performance when the views of MV-drivers are obscured.",
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author = "Yang Li and Hao Cheng and Zhe Zeng and Barbara Deml and Hailong Liu",
note = "Funding Information: This work was supported by JSPS KAKENHI Grant Number 20K19846 , Japan; and Remote Collaboration Program of Karlsruhe House of Young Scientist (KHYS), Germany . Yang Li is supported by China Scholarship Council (CSC) (No. 201906260302 ) at Karlsruhe Institute of Technology (KIT), Germany. Hao Cheng is funded by MSCA European Postdoctoral Fellowships under the 101062870 - VeVuSafety project. ",
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TY - JOUR

T1 - An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road

AU - Li, Yang

AU - Cheng, Hao

AU - Zeng, Zhe

AU - Deml, Barbara

AU - Liu, Hailong

N1 - Funding Information: This work was supported by JSPS KAKENHI Grant Number 20K19846 , Japan; and Remote Collaboration Program of Karlsruhe House of Young Scientist (KHYS), Germany . Yang Li is supported by China Scholarship Council (CSC) (No. 201906260302 ) at Karlsruhe Institute of Technology (KIT), Germany. Hao Cheng is funded by MSCA European Postdoctoral Fellowships under the 101062870 - VeVuSafety project.

PY - 2023/7

Y1 - 2023/7

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KW - Bottleneck road

KW - External human–machine interface (eHMI)

KW - Human-AV communication

KW - Internal human–machine interface (iHMI)

KW - Traffic psychology

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