Stochastic data-driven optimization for multi-class dynamic pricing and capacity allocation in the passenger railroad transportation
作者：
Highlights：
• A dynamic pricing and capacity allocation problem for passenger railways is solved.
• A data-driven stochastic optimization methodology is developed as an expert system.
• The firm’s operational costs is considered in a profit optimization model.
• The proposed model and methods are tested using a real-life case study.
• The potential benefits of the developed expert system are demonstrated.
摘要
•A dynamic pricing and capacity allocation problem for passenger railways is solved.•A data-driven stochastic optimization methodology is developed as an expert system.•The firm’s operational costs is considered in a profit optimization model.•The proposed model and methods are tested using a real-life case study.•The potential benefits of the developed expert system are demonstrated.
论文关键词：Revenue management,Dynamic pricing,Capacity allocation,Data-driven optimization,Stochastic programming
论文评审过程：Received 22 July 2019, Revised 9 January 2020, Accepted 13 May 2020, Available online 30 May 2020, Version of Record 10 June 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113568
