Intelligent sleeping car berth inventory control system in the case of variable capacity of railcars

被引：2

作者：

Macura, Dragana ^{[1
]}

Selmic, Milica ^{[2
]}

Teodorovic, Dusan ^{[2
]}

机构：

[1] Univ Belgrade, Fac Transport & Traff Engn, Dept Railway Engn, Vojvode Stepe 305, Belgrade, Serbia

[2] Univ Belgrade, Fac Transport & Traff Engn, Dept Operat Res Traff, Belgrade, Serbia

来源：

INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH | 2019年 / 26卷 / 01期

关键词：

revenue management; rail transport; variable capacity; artificial neural network; payoff table; REVENUE MANAGEMENT; YIELD MANAGEMENT; AIRLINE OVERBOOKING; RAILWAY; OPERATIONS; MODEL; EXPRESS;

D O I：

10.1111/itor.12465

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Managing ticket reservations in passenger rail transport is a complex task. A hybrid algorithm is developed as a decision support tool. The aim of the proposed algorithm is to provide real-time decisions on seat inventory allocation taking into account relevant information from the past. This paper considers the revenue management application in passenger rail transport with variable capacity of sleeping cars. Uncertainty of capacity availability is embedded in the developed algorithm through a payoff table, while an Artificial Neural Network is used as a tool for making real-time decisions. The algorithm is tested on hypothetical data.

引用

页码：270 / 288

页数：19

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