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Influence of an artificially produced stationary sound of electrically powered vehicles on the safety of visually impaired pedestrians

机译：人工生产的电动车辆对障碍行为安全性的影响

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摘要

Road traffic noise is the most annoying form of environmental noise pollution. The enforcement of using artificially generated sound for electrically powered vehicles is currently on the rise. In this regard, it is important to know if an additional stationary sound could be conducive to earlier detection. The aim of this project was to gather information on the influence of artificially generated stationary sound with an Acoustic Vehicle Alerting System (AVAS) of electrically driven vehicles on the safety of other traffic participants. The stationary sound of an electric vehicle denotes a sound corresponding to the idling noise of a conventional combustion vehicle. It indicates that a vehicle is stationary (v = 0 km/h) but the engine is running. Furthermore, the aim was to be investigated whether a stationary sound can contribute to the prevention of accidents. Various safety-relevant traffic situations, different stationary sounds and also driving sounds were used for this purpose. However, the question of whether a stationary sound would improve road safety for visually impaired pedestrians has not yet been addressed. The results of the study show that not every stationary sound in any driving situation leads to a better detection. Some stationary sounds show significant effects regarding the detection performance. Both laboratory tests and field tests have shown that there are stationary sound combinations which enable an earlier detection. Furthermore, an inappropriate stationary sound can also lead to a later detection. It has been found that clear differences e.g. due to level differences or frequency shifts between driving and stationary sound could lead to earlier detection. (C) 2020 Elsevier Ltd. All rights reserved.
机译：道路交通噪音是最讨厌的环境噪音污染形式。对电动动力车辆使用人为产生的声音的实施目前正在上升。在这方面，重要的是要知道额外的静止声音是否有利于更早的检测。该项目的目的是收集有关人工产生的固定声音对电动车辆的影响的影响的信息，用于电动车辆的其他交通参与者的安全性。电动车辆的静止声音表示对应于传统燃烧车辆的空转噪声的声音。它表明车辆是静止的（v = 0 km / h），但发动机正在运行。此外，旨在调查静止声音是否有助于预防事故。为此目的使用各种安全相关的交通情况，不同的静止声音和驱动声音。但是，尚未解决静止声音是否会改善视力受损行人道路安全的问题。研究结果表明，任何驾驶情况下的每个固定声都不会导致更好的检测。一些固定声音对检测性能显示出显着的影响。实验室测试和现场测试都表明存在静止的声音组合，其能够较早的检测。此外，不适当的静止声音也可能导致以后的检测。已经发现明确差异如图所示。由于驾驶和静止声音之间的级别差异或频率偏移可能导致更早的检测。 （c）2020 elestvier有限公司保留所有权利。

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