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

Liang Zou, Ke Cao and Lingxiang Zhu ()
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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

Mathematics, 2023, vol. 11, issue 8, 1-12

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.

Keywords: abnormal passenger behavior; travel time; absolute threshold; relative threshold; bilateral fitting method (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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