Open AccessMultiple Change-points Test Based on Heteroscedasticity and Its Application in Subway Passenger Flow
Author(s) -
X Zhang,
Shuwen Shi,
H Y Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1593/1/012017
Subject(s) - heteroscedasticity , passenger transport , point (geometry) , flow (mathematics) , test (biology) , test data , line (geometry) , distribution (mathematics) , computer science , mathematics , algorithm , engineering , statistics , transport engineering , geometry , mathematical analysis , geology , paleontology , programming language
A class of heteroscedastic multiple change-points test method (H-SMUCE) is introduced to test the mean change-point of subway passenger flow data. And the Algorithm steps is proposed. In this paper, since the passenger flow data obeys the normal distribution, this test method has a high accuracy rate. Simulation shows that the accuracy is over 90%. This algorithm for change-points test is applied to the passenger flow of 28 stations in Shanghai Metro Line 1, the positions and times of the change-points are measured, and the law of the change in average passenger flow is analyzed.