Autonomous Vehicles Drive into Ambiguous Urban Road: Design of HMI-based Communication Methods Focusing on Manually Driven Vehicle Drivers

  • Contact:

    Yang Li, M.A.

  • Partner:

    Dr. Hailong Liu, researcher from Graduate School of Informatics, Nagoya University, Japan; Dr. Hao Cheng, researcher from Institute of Cartography and Geoinformatics, Leibniz University Hannover, Germany.

  • Startdate:

    15.07.2021

  • Enddate:

    31.12.2021

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Remote Collaboration Program, Support by Karlsruhe House of Young Scientist (KHYS), KIT

With the development of autonomous vehicles (AVs), our traffic environment will be populated with a mixture of AVs and human traffic partners (HTPs) such as pedestrians, cyclists, and manually driven vehicles. However, a driver-less AV lacks some explicit communication methods when they negotiate with HTPs in the unclear right-of-way urban traffic scenarios, which brings new challenges to safety, efficiency, trust, and pro-sociality. To solve this problem, HMI-based communication methods could be seen as potential solutions to integrate AVs seamlessly into ambiguous scenarios. Compare to the studies of AV-pedestrian communication, rarely literature reported AVs - manually driven vehicles' driver communication. I focus on the deadlock situations in which negotiation is necessary. Novel HMIs will be proposed considering the complexity of situations, cooperative roles, and cultural background. For supporting build eHMI guidelines and developing a safe, efficient driving scenario, thus improving the acceptance of AV in the urban traffic environment.

With the development of autonomous vehicles (AVs), our traffic environment will be populated with a mix of AVs and human traffic partners (HTPs) such as pedestrians, cyclists and manually driven vehicles. However, a driverless AV lacks some explicit communication methods when negotiating with HTPs in the ambiguous right-of-way scenarios of urban traffic, posing new challenges for safety, efficiency, trust and prosociality. To address this issue, HMI-based communication methods could be considered as potential solutions to seamlessly integrate AVs into ambiguous scenarios. Compared to the studies on AV-pedestrian communication, communication between AVs and manually controlled vehicles is rarely reported in the literature. I focus on deadlock situations where negotiation is necessary. Novel HMIs are proposed that take into account the complexity of the situations, cooperative roles and cultural background. To support the construction of eHMI guidelines and the development of a safe, efficient driving scenario, thus improving the acceptance of AV in the urban transportation environment.