A dynamic bid price approach for the seat inventory control problem in railway networks with consideration of passenger transfer-Reference-Cited by-同舟云学术

A dynamic bid price approach for the seat inventory control problem in railway networks with consideration of passenger transfer

Published:2018-08-15 Issue:8 Volume:13 Page:e0201718
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Yuan Wuyang,Nie Lei,Wu Xin,Fu Huiling

Funder

National Natural Science Foundation of China

Ministry of Transport of the People’s Republic of China

Science and Technology Department of the China Railway Corporation

Fundamental Research Funds for the Central Universities

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference37 articles.

1. Multiproduct revenue management: An empirical study of Auto Train at Amtrak;S Sibdari;Multiproduct revenue management: An empirical study of Auto Train at Amtrak,2008

2. Railway Revenue Management: Overview and Models;A Armstrong,2010

3. Dynamic Demand Forecasting and Ticket Assignment for High-Speed Rail Revenue Management in China;X Jiang;Transportation Research Record Journal of the Transportation Research Board,2015

4. Stochastic seat allocation models for passenger rail transportation under customer choice;X Wang;Transportation Research Part E: Logistics and Transportation Review,2016

5. A Mathematical Programming Approach for the Solution of the Railway Yield Management Problem;A Ciancimino;A Mathematical Programming Approach for the Solution of the Railway Yield Management Problem,1999

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