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Traffic intelligent system architecture based on social media information

机译:基于社交媒体信息的交通智能系统架构

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This paper describes the density of traffic forecasting based on information obtained from social media. Social media twitter can become a source of accurate information as it comes from the verified twitter account i.e police department of republic Indonesia. The tweet (information) from this account is saved in our database. This research is expected to obtain results in the form of a system design and implementation of data traffic forecasting using LVQ algorithms. The result of this research is the capability of the system to give to the mobile device, the traffic information forecasting.
机译:本文介绍了基于从社交媒体获得的信息的交通预测密度。 社交媒体Twitter可以成为准确信息的来源,因为它来自验证的Twitter账户I.E警察局印度尼西亚。 来自此帐户的推文(信息)保存在我们的数据库中。 预计该研究将以系统设计和使用LVQ算法的数据流量预测的形式获得结果。 该研究的结果是系统提供给移动设备的能力,交通信息预测。

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