从社交网络上发布的信息中捕获和生成交通信息的系统

E. Huzita, T. G. D. Souza, Yan H. Kabuki
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引用次数: 4

摘要

互联网的扩展和社交网络的日益普及,使得获取和使用与流量相关的数据成为可能。本文介绍了一个基于智能系统的应用程序,该系统探索Facebook用户的协作性,以便通过数据挖掘获得一个可导航的地图,该地图指出用户报告的最近的交通事件。因此,它有望提供有用的信息,帮助任何用户决定最佳的移动路径,避免交通堵塞或堵塞他们通常使用的道路的事故。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A System to Capture and Generation of Traffic Information from Posted Messages on Social Networks
The expansion of the Internet and the growing use of social networks, allowed the capture and use of data related to traffic. This article presents an application, based in an intelligent system that explores the cooperativity of Facebook users so that, by data mining, get a navigable map that points out the most recent transit events reported by users. Thus, it is expected to contribute with useful information that helps any user to take decisions about the best path to be performed for his locomotion, avoiding, for example, traffic jams or accidents that are blocking roads they normally use.
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