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<p>The study evaluates a mathematical model for optimizing train routing and rerouting in Thailand's eastern railway from the Huan Mak in Bangkok to Chon Buri station in Thailand. The data were collected from the railway department including train schedules, capacity, and the conditions for the operations. A mixed integer programming (MIP) method is employed, which aligns with job shop scheduling (JSS) to minimise total train delays. By analyzing the challenges of single-track operations and the disruption effect on train operations, the study identifies optimal solutions for solving delays and enhancing operational effectiveness. CPLEX software utilizes the model, which promotes the analysis of multiple disruption scenarios such as longer processing times. The study highlights the importance of enhancing train routing to improve the overall system efficiency and robustness. Future research directions include the exploration of advanced heuristic and metaheuristic algorithms, as well as the integration of emerging technologies such as IoT and big data, to further improve decision-making processes in railway operations. This work contributes to the existing literature by providing a structured framework for addressing train routing challenges in a real-world context, ultimately aiming to enhance the efficiency of railway networks in Thailand.</p>

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Evaluating mathematical models for train routing and rerouting solutions: a study of their application in the railway network of Thailand's Eastern Region

  • 期刊论文

  • 发表日期：

    2025年4月24日

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  • Chanicha Moryadee,
  • Sittichai Pintuma,
  • Mano Prachayapipat,
  • Santipong Jirotkulkit,
  • Kiatkulchai Jitt-Aer

摘要

The study evaluates a mathematical model for optimizing train routing and rerouting in Thailand's eastern railway from the Huan Mak in Bangkok to Chon Buri station in Thailand. The data were collected from the railway department including train schedules, capacity, and the conditions for the operations. A mixed integer programming (MIP) method is employed, which aligns with job shop scheduling (JSS) to minimise total train delays. By analyzing the challenges of single-track operations and the disruption effect on train operations, the study identifies optimal solutions for solving delays and enhancing operational effectiveness. CPLEX software utilizes the model, which promotes the analysis of multiple disruption scenarios such as longer processing times. The study highlights the importance of enhancing train routing to improve the overall system efficiency and robustness. Future research directions include the exploration of advanced heuristic and metaheuristic algorithms, as well as the integration of emerging technologies such as IoT and big data, to further improve decision-making processes in railway operations. This work contributes to the existing literature by providing a structured framework for addressing train routing challenges in a real-world context, ultimately aiming to enhance the efficiency of railway networks in Thailand.