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Big data-based hot-spot real-time traffic monitoring system

  • SONG Rui ,
  • YAO Zheng
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  • 1. University of Chinese Academy of Sciences, Beijing 100049, China;
    2. Taiji Computer Corporation Limited, Beijing 100091, China

Received date: 2014-03-21

  Revised date: 2014-07-29

  Online published: 2015-05-15

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.

Cite this article

SONG Rui , YAO Zheng . Big data-based hot-spot real-time traffic monitoring system[J]. Journal of University of Chinese Academy of Sciences, 2015 , 32(3) : 428 -431 . DOI: 10.7523/j.issn.2095-6134.2015.03.021

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