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Collaborative Optimization of Stop Schedule Plan and Ticket Allotment for the Intercity Train

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  • Xichun Chen
  • Junli Wang

Abstract

As regards the ticket allotment issue of the intercity passenger corridor designed for different train grades, the matching relationship between the ticket allotment and the passenger flow demand is studied. The passenger flow conversion equation which is based on the collaborative optimization of the intercity train stop schedule plan and ticket allotment is established. Then the mathematical model aiming at the maximum revenue of intercity train system and the highest satisfaction from the passengers is established. The particle swarm harmony search algorithm is designed to solve the model. The example verifies the effectiveness of the model and algorithm, which indicates that, through the collaborative optimization of the stop schedule plan and ticket allotment for different grades intercity trains, the sectional utilization rate of the train can be improved; meanwhile, the optimum matching between the intercity train revenue and the passenger satisfaction can be realized.

Suggested Citation

  • Xichun Chen & Junli Wang, 2016. "Collaborative Optimization of Stop Schedule Plan and Ticket Allotment for the Intercity Train," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
    • Handle: RePEc:wly:jnddns:v:2016:y:2016:i:1:n:5649020
    DOI: 10.1155/2016/5649020
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    References listed on IDEAS

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    3. Kalyan Talluri & Garrett van Ryzin, 2004. "Revenue Management Under a General Discrete Choice Model of Consumer Behavior," Management Science, INFORMS, vol. 50(1), pages 15-33, January.
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    Cited by:

    1. Xu, Guangming & Liu, Xinyi & Zhong, Linhuan & Liu, Wei, 2025. "Group-based railway seat allocation policies considering the risk of virus transmission," Transportation Research Part A: Policy and Practice, Elsevier, vol. 199(C).

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