| 基于大数据的热点区域人员流量实时监测系统 |
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| 作者姓名： | 宋瑞 姚郑 |
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| 作者单位： | 1. 中国科学院大学, 北京 100049;
2. 太极计算机股份有限公司, 北京 100091 |
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| 基金项目： | 国家科技重大专项(2010ZX03006-001-02)资助 |
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| 摘 要： | 采用大数据技术实现一个热点区域人员流量的实时监测系统.该系统分析热点区域内每个出入口实时人员流量,挖掘各热点区域驻留人员数量规律,从而科学地安排资源及运营管理.整个处理过程耗时少于15 s,误差小于7.5%.运营结果表明该系统达到了大数据的实时采集、实时分析处理和实时分区控制的可实用目标.
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| 关 键 词： | 人员流量监测 大数据 实时计算 微云网络 |
| 收稿时间： | 2014-03-21 |
| 修稿时间： | 2014-07-29 |
Big data-based hot-spot real-time traffic monitoring system |
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| Authors: | SONG Rui YAO Zheng |
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| Institution: | 1. University of Chinese Academy of Sciences, Beijing 100049, China;
2. Taiji Computer Corporation Limited, Beijing 100091, China |
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| Abstract: | A big data-based hot-spot real-time traffic monitoring system is implemented. The system analyzes the passenger flow of each entry in real time, estimates the regular pattern of stay passengers in each hot-spot, and scientifically allocates resources for operation and administration. The period of the real-time processing in the system is shorter than 15 seconds, and the error rate of object detection is less than 7.5%. The operation results show that the system achieves the practical goals of real-time collection, analysis, and processing for big data. |
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| Keywords: | traffic monitoring big data real-time processing micro cloud network |
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