Estimating Train Choices of Rail Transit Passengers with Real Timetable and Automatic Fare Collection Data
Joint Authors
Zhu, Wei
Wang, Wei
Huang, Zhaodong
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-15
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
An urban rail transit (URT) system is operated according to relatively punctual schedule, which is one of the most important constraints for a URT passenger’s travel.
Thus, it is the key to estimate passengers’ train choices based on which passenger route choices as well as flow distribution on the URT network can be deduced.
In this paper we propose a methodology that can estimate individual passenger’s train choices with real timetable and automatic fare collection (AFC) data.
First, we formulate the addressed problem using Manski’s paradigm on modelling choice.
Then, an integrated framework for estimating individual passenger’s train choices is developed through a data-driven approach.
The approach links each passenger trip to the most feasible train itinerary.
Initial case study on Shanghai metro shows that the proposed approach works well and can be further used for deducing other important operational indicators like route choices, passenger flows on section, load factor of train, and so forth.
American Psychological Association (APA)
Zhu, Wei& Wang, Wei& Huang, Zhaodong. 2017. Estimating Train Choices of Rail Transit Passengers with Real Timetable and Automatic Fare Collection Data. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1170815
Modern Language Association (MLA)
Zhu, Wei…[et al.]. Estimating Train Choices of Rail Transit Passengers with Real Timetable and Automatic Fare Collection Data. Journal of Advanced Transportation No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1170815
American Medical Association (AMA)
Zhu, Wei& Wang, Wei& Huang, Zhaodong. Estimating Train Choices of Rail Transit Passengers with Real Timetable and Automatic Fare Collection Data. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1170815
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170815