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The deadline for goods delivery represents a critical milestone in railway freight transportation, reflecting the railway’s unwavering commitment to shippers. Prompt delivery is not only a matter of punctuality but also a testament to the industry’s dedication to maintaining high-quality service and competitiveness. Especially in the complex realm of through train operations, where trains seamlessly transition between stations and operational sections, timely delivery becomes an even more critical factor. This study, centered on the concept of streamlined integration, delves into the nuances of two pivotal scenarios: the intricate connection of through trains at a single technical station and the complex interlinking across multiple operational sections. By formulating 0–1 programming models that incorporate practical constraints like operating time standards and delivery time limits, we aim to optimize these scenarios and enhance the efficiency of railway freight transportation. Through validation using data from existing literature examples, we demonstrate the practical significance of our approach in improving the overall performance of the railway industry.

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Research on the Connection of Through Trains Based on the Deadline of Goods Transportation

  • 会议论文

  • 发表日期：

    2025年

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  • Shengdong Li,
  • Qiangfeng Zhang,
  • Xia Zhou,
  • Chuijiang Guo,
  • Li Shi

摘要

The deadline for goods delivery represents a critical milestone in railway freight transportation, reflecting the railway’s unwavering commitment to shippers. Prompt delivery is not only a matter of punctuality but also a testament to the industry’s dedication to maintaining high-quality service and competitiveness. Especially in the complex realm of through train operations, where trains seamlessly transition between stations and operational sections, timely delivery becomes an even more critical factor. This study, centered on the concept of streamlined integration, delves into the nuances of two pivotal scenarios: the intricate connection of through trains at a single technical station and the complex interlinking across multiple operational sections. By formulating 0–1 programming models that incorporate practical constraints like operating time standards and delivery time limits, we aim to optimize these scenarios and enhance the efficiency of railway freight transportation. Through validation using data from existing literature examples, we demonstrate the practical significance of our approach in improving the overall performance of the railway industry.