Collaborative Optimization of Stochastic Seat Allocation for Passenger Rail Transportation and Train Formation Scheme

This study integrates seat inventory control for high speed railway passenger revenue management and flexible train formation scheme. In this problem, the train formation scheme is determined by booking demands of each origin–destination (O-D), and the rail operator wants to make the best seat allocation for each O–D train service of each fare class. This paper simultaneously makes optimal revenue management and train formation decisions. The authors formulate the problem with mixed integer programming with the objective of maximizing the total expected revenue subtracting operational cost, considering stochastic demand, then design a particle swarm optimization algorithm combing with linear programming to solve the formulation. Several simulation tests with different demand means and variances are offered to prove the validity and applicability of the model. The expected revenue of three fare classes performs the best in the numerical experiments.

• Record URL:
  • https://doi.org/10.1061/9780784481523.104
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784481523
• Supplemental Notes:
  • © 2018 American Society of Civil Engineers 2018
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Yan, Zhen-ying
  • Han, Bao-ming
  • Li, Xiao-juan
  • Zhao, Ya-qiong
• Conference:
  • 18th COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2018-7-5 to 2018-7-8
• Publication Date: 2018-7

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 1056-1064
• Monograph Title: CICTP 2018: Intelligence, Connectivity, and Mobility

Subject/Index Terms

• TRT Terms: High speed rail; Origin and destination; Passenger handling; Revenues; Seats; Stochastic processes
• Subject Areas: Passenger Transportation; Railroads;

Filing Info

• Accession Number: 01870111
• Record Type: Publication
• ISBN: 9780784481523
• Files: TRIS, ASCE
• Created Date: Jan 19 2023 11:23AM