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A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(9), pp.133-141
  • DOI : 10.9708/jksci.2021.26.09.133
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 26, 2021
  • Accepted : September 29, 2021
  • Published : September 30, 2021

NakJin Choi 1,  SungJin Kim 1,  YongWan Ju 1,  Suh Sangmin 1,  JaeHong Choi 1,  Jundong Lee 1

1강릉원주대학교

Accredited

ABSTRACT

The development and demand for the system that provides users with traffic information and efficient road use have continued. also, this system provides the basic technology of the Intelligent Transport System (ITS). The most used traffic information collection tools are Vehicle detectors (VDS) and short-range wireless communication (DSRC) on express way. In order to generate reliable traffic information, it is necessary to efficiently manage and utilize the collected data as well as high-quality traffic data collection and processing technology. In this study, traffic information collection⋅ processing⋅provision systems were investigated, and analyze the current status and problems of traffic information collected through VDS. Based on this, we would like to present an improved collection algorithm that utilizes the Kalman filter for vehicle information measurement of VDS data. By using the algorithm of this study, it is possible to minimize the time delay of the estimated value as well as the noise removal that inevitably occurs during measurement.

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This paper was written with support from the National Research Foundation of Korea.
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