Hybrid Algorithm for Ticket Reservation Process n Passenger Rail Transport

Managing a tickets reservation process in passenger rail transport is a complex task. For solving this kind of task, the authors develop a hybrid algorithm based on an 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 the developed algorithm by a Payoff table, while the Artificial Neural Network is used as a tool for making real time decisions. The authors consider a nested reservation system, and the algorithm is tested on hypothetical data.

Language

  • English

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Filing Info

  • Accession Number: 01630518
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Mar 19 2017 12:07AM