Short-Term Forecasting of Railway Passenger Flow Based on Clustering of Booking Curves
Joint Authors
Cao, Jingjia
Ma, Minshu
Liu, Jun
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
For railway companies, the benefits from revenue management activities, like inventory control, dynamic pricing, and so forth, rely heavily on the accuracy of the short-term forecasting of the passenger flow.
In this paper, based on the analysis of the relevance between final booking amounts and shapes of the booking curves, a novel short-term forecasting approach, which employs a specifically designed clustering algorithm and the data of both historical booking records and the bookings on hand, is proposed.
The empirical study with real data sets from Chinese railway shows that the proposed approach outperforms the advanced pickup model (one of the most popular models in practice) during the early and middle stages of booking horizon when bookings are not concentrated in the final days before departure.
American Psychological Association (APA)
Ma, Minshu& Liu, Jun& Cao, Jingjia. 2014. Short-Term Forecasting of Railway Passenger Flow Based on Clustering of Booking Curves. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-492198
Modern Language Association (MLA)
Ma, Minshu…[et al.]. Short-Term Forecasting of Railway Passenger Flow Based on Clustering of Booking Curves. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-492198
American Medical Association (AMA)
Ma, Minshu& Liu, Jun& Cao, Jingjia. Short-Term Forecasting of Railway Passenger Flow Based on Clustering of Booking Curves. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-492198
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492198