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Subjective evaluations of detectability of alert sound for electric and hybrid electric vehicle under actual environment

机译:电动汽车和混合动力汽车在实际环境中警报声音可检测性的主观评估

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The motor sound on electric and hybrid electric vehicle is quiet at low speeds. Thus, pedestrians have difficulty detecting those vehicles approaching them. Although those vehicles were designed to play an alert sound to solve this problem, it has not been solved yet. Our previous studies found that the fluctuation frequency, non-periodic fluctuation and amplitude envelope are effective to make them detect approaching vehicles. However, those studies were investigated under only an actual environment, weren't examined validity of detectability in those studies. Therefore, this paper investigate under some actual environment, examine the validity. Investigations were carried out by using synthesized complex sounds which were designed to have periodic and non-periodic amplitude fluctuations. Those complex sounds have characteristics of amplitude fluctuations in gasoline powered vehicle. Envelopes such as modulation wave in amplitude-modulated sound were set for deviations for time and amplitude, and amplitude-modulated complex sounds were synthesized using sine wave, sawtooth wave, and rectangle wave as modulation wave. Then, their effects on detectability by pedestrians were assessed in some actual environment. The results found that amplitude fluctuation enhances the ability with which people detect approaching electric and hybrid electric vehicles in case of some complex sound.
机译:电动和混合动力电动汽车上的马达声音在低速时安静。因此,行人很难检测到那些正在接近他们的车辆。尽管这些车辆被设计为发出警报声音来解决此问题,但尚未解决。我们以前的研究发现,波动频率,非周期性波动和幅度包络有效地使它们能够检测到接近的车辆。但是,这些研究仅在实际环境下进行,未在这些研究中检查可检测性的有效性。因此,本文在一定的实际环境下进行研究,检验其有效性。使用合成的复合声音进行研究,这些复合声音被设计为具有周期性和非周期性的幅度波动。这些复杂的声音具有汽油动力车辆中振幅波动的特性。设置幅度调制声音中的调制波等信封以消除时间和幅度的偏差,并使用正弦波,锯齿波和矩形波作为调制波来合成幅度调制的复音。然后,在某些实际环境中评估了它们对行人可检测性的影响。结果发现,振幅波动增强了人们在复杂声音情况下检测正在接近的电动汽车和混合动力电动汽车的能力。

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