基于决策树方法的智慧城市CCTV城市分布

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI:10.1109/ISITIA.2017.8124048

Arif Pribadi, F. Kumiawan, M. Hariadi, S. M. S. Nugroho

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引用次数: 7

摘要

在智慧城市的应用中，监管是非常重要的。闭路电视(CCTV)是智慧城市监控的主要工具之一。一些与信息通信技术(ICT)连接的cctv形成了智能监控。为了支持智能交通，安装了闭路电视来监控路况。问题是闭路电视的安装并不总是与位置条件相适应。因此，道路密度、事故、犯罪等情况无法得到最佳监控。本研究旨在找出CCTV摄像机类型与位置放置的关系。采用分类技术构建预测模型。利用决策树算法得到的预测模型准确率为87.96%。

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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Urban distribution CCTV for smart city using decision tree methods

Supervision is important in the application of Smart City. Closed-Circuit Television (CCTV) is one of the main tools of Smart City surveillance. Some CCTVs connected with Information and Communication Technology (ICT) form Smart Monitoring. In order to support Smart Mobility, CCTV is installed to monitor road conditions. The problem is the installation of CCTV which is not always appropriate with the location conditions. Consequently situations such as road density, accidents, crime can not be monitored optimally. This research aims to find the relation of type CCTV camera with location placement. Classification technology is used to construct predictive models. Using the Decision Tree algorithm obtained an accuracy of the prediction model is 87.96%.

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来源期刊

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)

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