Sound Decisions: How Synthetic Motor Sounds Improve Autonomous Vehicle-Pedestrian Interactions

D. Moore, Rebecca M. Currano, D. Sirkin
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引用次数: 24

Abstract

Electric vehicles’ (EVs) nearly silent operation has proved to be dangerous for bicyclists and pedestrians, who often use an internal combustion engine’s sound as one of many signals to locate nearby vehicles and predict their behavior. Inspired by regulations currently being implemented that will require EVs and hybrid vehicles (HVs) to play synthetic sound, we used a Wizard-of-Oz AV setup to explore how adding synthetic engine sound to a hybrid autonomous vehicle (AV) will influence how pedestrians interact with the AV in a naturalistic field study. Pedestrians reported increased interaction quality and clarity of intent of the vehicle to yield compared to a baseline condition without any added sound. These findings suggest that synthetic engine sound will not only be effective at helping pedestrians to hear EVs, but also may help AV developers implicitly signal to pedestrians when the vehicle will yield.
声音决策:合成电机声音如何改善自动驾驶车辆与行人的互动
事实证明,电动汽车近乎无声的运行对骑自行车的人和行人来说是危险的,因为他们经常将内燃机的声音作为定位附近车辆并预测其行为的众多信号之一。受目前正在实施的法规要求电动汽车和混合动力汽车(HVs)播放合成声音的启发,我们使用Wizard-of-Oz自动驾驶汽车设置来探索在混合动力自动驾驶汽车(AV)中添加合成引擎声音将如何影响行人与自动驾驶汽车的互动。行人报告说,与没有任何额外声音的基线条件相比,车辆的交互质量和意图清晰度都有所提高。这些研究结果表明,合成发动机声音不仅可以有效地帮助行人听到电动汽车的声音,还可以帮助自动驾驶汽车开发人员向行人暗示车辆何时会让路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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