Z-Wave-Based Vehicular Blackbox with Automatic Emergency Assistance

Eduard-Florentin Luchian, A. Taut, I. Ivanciu, G. Lazar, V. Dobrota
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引用次数: 2

Abstract

One of the major concerns in today’s society is vehicular safety. Local governments and car manufacturers are working closely together to reduce the number of casualties by introducing different automatic emergency calling systems. This feature will be mandatory in European Union starting with 2018. But what happens to older cars? Our Blackbox is a simple and cheap solution to this problem and can be fitted to any car, regardless of age and model. Blackbox relies on a Raspberry Pi to collect data from several Z-Wave-based sensors mounted on the vehicle. This data is processed locally and then sent to the cloud back-end for further use by local authorities. In case of an accident, the emergency services are automatically informed about the location. The novelty of our solution consists in not relying solely on calling the ambulance, but also sending a distress signal to nearby cars using the same Z-Wave technology. We show that in some cases, this approach helps gain valuable time as victims can be tended to until the ambulance reaches the crash-site.
基于z波的车辆黑匣子与自动紧急援助
当今社会的主要问题之一是车辆安全。地方自治团体和汽车制造企业为了减少伤亡人数,正在引进不同的自动紧急呼叫系统。从2018年开始,该功能将在欧盟强制执行。但是旧车会怎么样呢?我们的黑盒子是一个简单而廉价的解决方案,可以安装在任何汽车上,无论年龄和型号。Blackbox依靠树莓派从安装在车上的几个基于z波的传感器收集数据。这些数据在本地处理,然后发送到云后端,供地方当局进一步使用。如果发生事故,紧急服务部门会自动获知事故地点。我们的解决方案的新颖之处在于,它不仅依赖于呼叫救护车,而且还使用相同的Z-Wave技术向附近的车辆发送求救信号。我们表明,在某些情况下,这种方法有助于赢得宝贵的时间,因为受害者可以得到照顾,直到救护车到达事故现场。
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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