The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Development of a Shockwave Detection Method based on Continuous Wavelet Transform using Vehicle Trajectory Data

차량 궤적 데이터를 활용한 연속웨이블릿변환 기반 충격파 검지 방법 개발

  • Yang, Inchul (Integrated Road Management Center, Dept. of Infrastructure Safety Research, KICT) ;
  • Jeon, Woo Hoon (Integrated Road Management Center, Dept. of Infrastructure Safety Research, KICT) ;
  • Lee, Jo Young (Dept. of Civil Engineering, New Jersey Institute of Technology)
  • 양인철 (한국건설기술연구원 인프라안전연구본부 도로관리통합센터) ;
  • 전우훈 (한국건설기술연구원 인프라안전연구본부 도로관리통합센터) ;
  • 이조영
  • Received : 2019.08.19
  • Accepted : 2019.09.16
  • Published : 2019.10.31
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Abstract

This study developed a shockwave detection and prediction of their extinction point method based on continuous wavelet transform using trajectory data from probe vehicles equipped with automotive sensors.. To analyze the effectiveness of the proposed method, this paper proposed two measures which are a distance error between the extinction points of the predictor and an time-location error of the extinction points. The proposed concept was proved using the micro simulation based experiment with three exogenous variables of traffic volume, lane-close duration, market penetration of probe vehicles. The analysis results show that the proposed method is capable of detecting the traffic shockwaves as well as predicting their extinction point, and also that the accuracy of the proposed method is highly dependent on the rate of the probe vehicles.

본 연구에서는 전/후방 차량 검지가 가능한 차량센서를 탑재한 프로브 차량으로 수집한 주행 궤적을 이용하여 연속웨이블릿변환 기반 충격파 검지 및 소멸 시점 예측 방법을 제안하였다. 제안된 방법의 효과성 분석을 위하여 충격파 소멸점 간 거리오차와 충격파 소멸점 시간-위치 오차를 평가 지표로 제시하였고, 교통혼잡 수준, 속도 감소 현상 지속시간, 프로브 차량의 비율 등을 실험요인으로 하는 미시적 시뮬레이션 기반의 실험을 통하여 제안된 방법의 개념을 검증하였다. 그 결과, 두 가지 평가 지표 모두 교통혼잡 수준 및 속도 감소 지속시간에 크게 민감하지 않음을 보임으로서, 본 연구에서 제안하는 방법이 임의의 위치와 시간 동안 발생하는 속도 감소 현상으로 인한 충격파를 검지하고 그 소멸시점을 예측하는데 효과가 있음을 보였다. 그리고 그 정확도는 전체 차량 중 프로브 차량의 비율에 많은 영향을 받는 것으로 나타났다.

Keywords

References

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