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Research on Relative Threshold of Abnormal Travel in Subway Based on Bilateral Curve Fitting

Author

Listed:
  • Liang Zou

    (College of Civil and Traffic Engineering, Shenzhen University, Shenzhen 518069, China)

  • Ke Cao

    (College of Civil and Traffic Engineering, Shenzhen University, Shenzhen 518069, China)

  • Lingxiang Zhu

    (College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China)

Abstract

Abnormal passenger behavior in rail transit has become a top priority, as it affects operational safety. Passenger travel time is the main basis for identifying abnormal behavior while considering the flexibility of travel time. Currently, the main method is to use absolute threshold discrimination based on the distribution of travel time. However, there is a problem of missing abnormal passenger behavior due to the large difference in travel time between the Origin-Destinations (ODs). Therefore, this paper proposes a method of setting corresponding thresholds for each OD. By analyzing the percentile curves of the overall and individual OD pairs, it was found that the turning point of the curve had a significant feature, and the difference between the two sides of the curve was obvious. This paper proposes a bilateral fitting method, and the results show that this method can calculate the relative threshold for different OD pairs. The significant advantages of this method are its low cost and wide coverage.

Suggested Citation

  • Liang Zou & Ke Cao & Lingxiang Zhu, 2023. "Research on Relative Threshold of Abnormal Travel in Subway Based on Bilateral Curve Fitting," Mathematics, MDPI, vol. 11(8), pages 1-12, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1788-:d:1119152
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    References listed on IDEAS

    as
    1. Gang Xue & Daqing Gong & Jianhai Zhang & Peng Zhang & Qimin Tai, 2020. "Passenger Travel Patterns and Behavior Analysis of Long-Term Staying in Subway System by Massive Smart Card Data," Energies, MDPI, vol. 13(10), pages 1-23, May.
    2. McNeil, Alexander J., 1997. "Estimating the Tails of Loss Severity Distributions Using Extreme Value Theory," ASTIN Bulletin, Cambridge University Press, vol. 27(1), pages 117-137, May.
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