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http://dx.doi.org/10.12815/kits.2019.18.5.183

Development of a Shockwave Detection Method based on Continuous Wavelet Transform using Vehicle Trajectory Data  

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)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.18, no.5, 2019 , pp. 183-193 More about this Journal
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.
Keywords
Automotive sensor; Probe vehicle; Continuous wavelet transform; Traffic shockwave; Vehicle trajectory data;
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