地理社会网络中改善道路安全的数据挖掘机会

M. Fire, D. Kagan, Rami Puzis, L. Rokach, Y. Elovici
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引用次数: 36

摘要

有效的道路规划和确保交通安全需要交通测量、道路安全研究和调查。不幸的是,这些方法既繁琐又昂贵。在本文中,我们指出了一种基于协作式社区导航应用程序(如Waze)的交通信息来源。Waze通过其应用程序公开的部分和匿名信息提供了有价值的信息,可以大大简化未来的交通研究。此外,我们表明,Waze用户的报告可能会暴露出事故频发的地点,但缺乏警方的报道。这些知识可以帮助警察部门通过将警察部队重新部署到这些地点来改善道路安全。最后,本文讨论的数据将交通和道路安全研究与基于位置的服务和社交网络平台联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data mining opportunities in geosocial networks for improving road safety
Traffic measurements, road safety studies, and surveys are required for efficient road planning and ensuring the safety of transportation. Unfortunately, these methods can be cumbersome and very expensive. In this paper we point out a source of transportation information that is based on collaborative community-based navigation applications, such as Waze. Partial and anonimized information publicly exposed by Waze through their application provides valuable information that can significantly ease the future of transportation studies. Moreover, we show that Waze user reports may expose locations plagued with accidents but in lacking police coverage. This knowledge may help police departments to improve road safety by relocating the police units to these locations. Lastly, the data discussed in this paper connects transportation and road safety research to location based services and social network platforms.
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