HYBRID ALGORITHM FOR TICKET RESERVATION PROCESS IN PASSENGER RAIL TRANSPORT

被引：0
|
作者：
Macura, Dragana [1 ]
Selmic, Milica [1 ]
Teodorovic, Dusan [1 ]
Milosevic, Milutin [2 ]
机构：
[1] Univ Belgrade, Fac Transport & Traff Engn, Belgrade, Serbia
[2] Beograd Cvor, Belgrade, Serbia
来源：
ROAD AND RAIL INFRASTRUCTURE IV | 2016年
关键词：
Revenue management; Rail transport with variable capacity; Artificial Neural Network; Payoff table;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Managing tickets reservation process in passenger rail transport is complex task. For solving this kind of task, we develop a hybrid algorithm based on Artificial Neural Network and Payoff table as a decision support tool. The aim of the proposed algorithm is to suggest real time decisions about seat inventory allocations taking into account information from the past. The paper considers the revenue management application in passenger rail transport with variable capacity of sleeping cars. Uncertainty of available capacity is embedded in developed algorithm by Payoff table, while Artificial Neural Network is used as a tool for making real time decisions. We consider nested reservation system, and the algorithm is tested on hypothetical data.
引用
收藏
页码：123 / 129
页数：7
相关论文
共 50 条
  • [21] THE USE OF PROGRESSIVE GRAVITATIONAL METHODS IN THE LOGISTICS OF RAIL PASSENGER TRANSPORT
    Dedik, Milan
    Hrudkay, Karol
    Sperka, Adrian
    ACTA LOGISTICA, 2021, 8 (01): : 19 - 25
  • [22] Methodology for tendering the performances in long distance rail passenger transport
    Gasparik J.
    Mesko P.
    Zahumenska Z.
    Periodica Polytechnica Transportation Engineering, 2019, 47 (01): : 19 - 24
  • [23] Research on passenger flow forecasting model for urban rail transport
    Cui, Mengru
    SEVENTH INTERNATIONAL CONFERENCE ON TRAFFIC ENGINEERING AND TRANSPORTATION SYSTEM, ICTETS 2023, 2024, 13064
  • [24] ESTABLISHING THE CAPACITIES IN THE INNER CITY - SUBURBAN RAIL PASSENGER TRANSPORT
    Duvnjak, Branimir
    Mlinaric, Tomislav Josip
    Humic, Renato
    ROAD AND RAIL INFRASTRUCTURE IV, 2016, : 557 - 565
  • [25] Urban rail service design for collaborative passenger and freight transport
    Li, Zhujun
    Shalaby, Amer
    Roorda, Matthew J.
    Mao, Baohua
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2021, 147
  • [26] Research on Predicting Model of Railway Passenger Ticket Refund Rate Based on XGBoost Algorithm
    Wang H.
    Tiedao Xuebao/Journal of the China Railway Society, 2019, 41 (12): : 19 - 25
  • [27] Income and price elasticity of demand for transport services in rail passenger transport in the Slovak republic
    Cerna, Lenka
    Zitricky, Vladislav
    Ponicky, Jan
    34TH INTERNATIONAL CONFERENCE MATHEMATICAL METHODS IN ECONOMICS (MME 2016), 2016, : 126 - 131
  • [28] Application of genetic algorithm in organising passenger transport
    Stefancic, G
    Mikulcic, I
    Benakic, M
    PROMET TRAFFIC-TRAFFICO, VOL 11, SUPPLEMENT 4, 1999, 1999, : 75 - 77
  • [29] A Timetable Optimization Model for Passenger and Freight Transport on Airport Rail Line
    Wang, Baifan
    Li, Wenquan
    Yu, Jingcai
    Deng, Anxin
    CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION, 2023, : 1998 - 2008
  • [30] Passenger Preferences in Rail Transport in Poland as Regards Travelling Time and Cost
    Rosa, Grazyna
    SUSTAINABILITY, 2021, 13 (09)
12345