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BUMPSTER: A Mobile Cloud Computing System for Speed Breakers and Ditches

机译:BUMPSTER:用于减速器和沟渠的移动云计算系统

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摘要

Road accidents are one of the universal problems faced by people all around the world. A major reason is reckless driving on speed breakers and ditches causing high causalities due to no warning signs, lack of street lights, substandard construction etc. There has been some research related to finding a Computer Science oriented solution but no substance in terms of a product. We present an Android application to solve this and have collected data from different parts of Karachi to detect upcoming speed breakers and ditches within a 10-12 meter radius. The application will be able to accurately warn users ahead of time and prevent hazards using a Support Vector Machine which has been trained with data from multiple devices. Speed breaker and ditch locations are loaded on the Cloud and filtered using a defined threshold. The model predicted speed breakers and ditches up to 85% accuracy with minimal power consumption.
机译:道路交通事故是全世界人民面临的普遍问题之一。一个主要的原因是由于没有警告标志,缺少路灯,不合格的构造等,导致在高速断路器和沟渠上的鲁driving驾驶造成高因果关系。已经有一些研究与寻找面向计算机科学的解决方案有关,但是在产品方面没有实质性内容。我们提供了一个Android应用程序来解决此问题,并已收集来自卡拉奇不同地区的数据,以检测即将到来的10-12米半径范围内的减速器和沟渠。该应用程序将能够使用支持向量机对来自多个设备的数据进行训练,从而提前准确地警告用户并防止危害。减速器和沟渠位置已加载到云中,并使用已定义的阈值进行了过滤。该模型可以预测减速器和沟渠,其准确率可达到85%,而功耗却最小。

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