路面异常识别的新方法

V. Astarita, D. C. Festa, D. W. Mongelli, Antonio Tassitani
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引用次数: 10

摘要

本文展示了一种通过垂直加速度和声压级的耦合测量来识别道路异常的方法。该方法的创新解决方案在于,可以利用加速度和声压的时间导数来评估道路异常。此外,该方法已经开发并验证了大多数驱动程序(如智能手机和平板电脑)所拥有的商用仪器。事实上,目前的智能手机设备配备了GPS、陀螺仪和麦克风,可以同时记录与地理位置、加速度和声压有关的数据。这种设备的广泛分发可以使地方行政部门获得由正常驾驶员进行的大量调查,并以很小的费用建立一个代表整个基础设施网络的道路异常情况的大型数据库。最后,该方法的应用推翻了目前道路基础设施的监测政策,这些政策只能由管理人员通过众包DB系统来执行,普通道路使用者可以带来持续的实时更新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New methodology for the identification of road surface anomalies
This article show a methodology for the identification of road anomalies through the coupled measurements of vertical acceleration and sound pressure levels. The innovative solution of this methodology lays in the possibility to evaluate road anomalies by using the time derivative of acceleration and sound pressure. Furthermore, this methodology has been developed and validated using a commercially available instrumentation possessed by most drivers, such as, smartphones and tablets. The current smartphone devices, in fact, are equipped with GPS, gyroscope and microphone that allow to simultaneously record data relating to geolocation, acceleration and sound pressure. The widespread distribution of this equipment could allow local administration to acquire a large number of surveys carried out by normal drivers and build a large Data Base on road anomalies representative of a whole network of infrastructures with a very small cost. Finally, the application of the methodology overturns current monitoring policies of road infrastructure that can be carried out only by the management staff by crowdsourcing the DB system with continuous real time updates brought by normal road users.
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