An automatic traffic incident detection algorithm based on discrete time signal correlation was proposed. Traffic information data were converted to discrete-time signals and the correlation was calculated to locate the same traffic stream passing the upper and lower sections. The characteristics of correlation coefficients was explained. The results show that the algorithm is visual and easy to understand. The algorithm performs well under low-saturated traffic conditions and has better adaptability.
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SUN Qian, GUO Zhongyin. Automatic Traffic Incident Detection Algorithm based on Discrete Time Signal Correlation[J].同济大学学报(自然科学版),2018,46(11):1508~1513