Streaming driving behavior data

Anas Basalamah, M. Ahmad, Mohamed Elidrisi, Saleh M. Basalamah, M. Mokbel
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引用次数: 3

Abstract

People's driving behavior patterns have significant effects on the modern transportation systems. Public safety, traffic congestions, driving convenience are all affected by the driver's behaviors on the road. With the recent developments in data communications, streaming and mining technologies, developing driving behavior monitoring systems that can stream driving behavioral patterns, discover and predict traffic violations can be made possible. In this paper, we describe our vision towards the realization of such technologies from the view points of data steaming and analysis.
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流式驾驶行为数据
人们的驾驶行为模式对现代交通系统有着重要的影响。公共安全、交通拥堵、驾驶便利性都受到驾驶员在道路上行为的影响。随着数据通信、流媒体和挖掘技术的最新发展,开发驾驶行为监控系统可以对驾驶行为模式进行流媒体传输,发现和预测交通违规行为。在本文中,我们从数据蒸和分析的角度描述了我们对实现这些技术的愿景。
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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