The Journal of the Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회논문지)

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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A Study on Efficient Vehicle Classification based on 3-Piezo Sensor AVC SYSTEM

3-Piezo 센서 기반 교통량 조사시스템의 차종분류방식에 대한 연구

  • 조성윤 (안양대학교 디지털미디어공학과) ;
  • 이동규 (한북대학교 컴퓨터정보학과) ;
  • 류승기 (건설기술연구원)
  • Received : 2013.05.02
  • Accepted : 2013.06.14
  • Published : 2013.06.30
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Abstract

The AVC System which has operated in Highways has two-piezo sensors. In this system the piezo sensors are installed on parally each other this configuration has a defect about diversion driving and sensor damage. In this reserch, 3-Sensor AVC algorithm has been proposed which is supported enhance accuracy of the vehicle classification rate compare with usual 2-Sensor systems. This algorithm is allowed to calculate wheel tread, wheel width. The third inclinded piezo sensor can detec twheel tread, wheel width using signal processing. 3-Sensor AVC has been installed in real highway and the outcome performance has been proof.

국도 및 고속도로에 기 설치된 AVC System은 두 개의 Piezo Sensor를 평행 하게 설치하여 차량의 축수,축간거리, Front hang 등의 정보를 취득한다. 이러한 시스템은 두 개의 Piezo 신호만을 분석하여 사용하기 때문에 차량의 편향 주행등과 같은 주행패턴이나 센서 이상 등에 능동적으로 대처하기 힘들다. 차종의 분류성능 개선을 위해 제3의 센서인 사선 센서를 도입하여 3-sensor AVC 구동 알고리즘을 제시하였다. 본 알고리즘은 차량의 유거 및 윤폭정보를 기존의 정보 스키마에 추가함으로써 취득된 차종분류 정보 오분류를 획기적으로 줄일 수 있었다. 또한 이러한 이론적 알고리즘을 현장에 적용하여 실질적인 개선 효과가 있음을 증명할 수 있었다.

Keywords

References

  1. Ministry of Land, Infrastructure and Transport, "Research vehicle traffic classification guide", 2008.
  2. Junhyeong Park.Taejin Kim.Chul Oh, "Ealuation of Technical Feasibility for Vehicle Classification Using Inductive Loop Detectors on Freeways" KOREA ITS journal , Vol. 8, No. 1, pp.9-21, 2009.
  3. Jusam Oh.Gyeongchan Jang.Minsung Kim.Jinhwan Jang, "Determining the Appropriate Installation Angle of Skewed Sensor to Measure" Korea Society Road Engineers journal, Vol. 10, No 3, pp.79 -86, 2008.
  4. Sunmin Gwon, Youngchan Seo, "New Vehicle Classification Algorithm with Wandering Sensor", Korea Society of Transportation journal Vol. 27 No. 6,pp.79-87, 2009. 12.
  5. Hyoungsoo Kim, Jusam Oh, "Developing a method to estimate vehicle speeds in a low-cost vehicle detector with an inclined sensor," Korea Society Road Engineers journal, Vol. 11, No. 1, pp. 59-67, 2009. 3.
  6. Coifman B., Dhoorjaty S., and Lee Z.,"Estimmedian velocity instead of mean velocity at single loop detectors", Transportation Research Part C, Vol. 11, pp. 211-222, 2003. https://doi.org/10.1016/S0968-090X(03)00025-1
  7. Ki Y. and Baik D., "Vehicle-classification algorithm for single-loop detectors using Neural Networks", IEEE Transactions on Vehicular Technology, Vol. 55, No. 6, IEEE, pp. 1704-1711, 2006. https://doi.org/10.1109/TVT.2006.883726
  8. Junho Shin, Byunghun Song "Development of Slope Monitoring System using VW Piezo-meter and Inclinometer" J. of Korean Institute of Information Technology, Vol.10, No.3 2012.3, page(s): 37-45
  9. Beom-Joon Lee,Heng Yang,Ik-Sang Kim "Implementation of Handy Equipment for Measuring Pressure Distribution with FSR(Force Sensitive Resistors) Sensor" J. of Korean Institute of Information Technology, Vol.8, No.11 2010.11, page(s): 45-53
  10. Jae-Ung Cho, Byoung-Sang Min and Key-Sun Kim "Study of Safety on Damage of Automotive Door at Impact" Journal of the Korea Academia-Industrial cooperation Society, Vol. 11, No. 12 pp. 4677-4684, 2010 https://doi.org/10.5762/KAIS.2010.11.12.4677
  11. Joong Kien Lee, Jae Hwan Kim, Ley-Sun Kim and Hyuong Sik Lee "Transmitted Noise Reduction Performance of Piezoelectric Single Panel through Piezo-damping" Journal of the Korea Academia-Industrial cooperation Society, Vol.2, No.2, pp49-56, 2001