Deduction Method of Passengers’ Train Choices in Rail Transit Network Based on Travel Time Thresholds

doi:10.11908/j.issn.0253-374x.20530

Home > Archive>Volume 50, Issue 1, 2022 >87-95. DOI:10.11908/j.issn.0253-374x.20530

Deduction Method of Passengers’ Train Choices in Rail Transit Network Based on Travel Time Thresholds
DOI:
                        10.11908/j.issn.0253-374x.20530
                    
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Affiliation:1.Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety， Tongji University， Shanghai 201804， China;2.Key Laboratory of Road and Traffic Engineering of the Ministry of Education， Tongji University， Shanghai 201804， China;3.China Railway Shanghai Design Institute Group Co.， Ltd.， Shanghai 200070， China
Clc Number:U231+.92
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Abstract:

Based on the automatic fare collection （AFC） data， automatic train supervision （ATS） data， and the passenger walking time data， travel time thresholds of train choices as well as the influence factors are analyzed in detail. Then a hierarchy deduction model of passengers’ train choices is developed. The model is able to accurately deduce passengers’ train choices one by one， Case studies on the Beijing metro network verifies the good performance of the model.

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ZHU Wei, FAN Weili, XU Changyue, XU Ruihua. Deduction Method of Passengers’ Train Choices in Rail Transit Network Based on Travel Time Thresholds[J].同济大学学报(自然科学版),2022,50(1):87~95

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Received:December 23,2020
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Online: February 17,2022
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