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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:本文描述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,因为它来自经过验证的Twitter帐户,即印度尼西亚共和国警察局。该帐户的推文(信息)保存在我们的数据库中。预期该研究将以系统设计和使用LVQ算法实现数据流量预测的形式获得结果。这项研究的结果是该系统向移动设备提供交通信息预测的能力。

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