中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (1): 179-185.doi: 10.16265/j.cnki.issn 1003-3033.2021.01.026

• 公共安全 • 上一篇    下一篇

安全约束条件下高铁站到发线运用优化研究

任禹谋1,2, 张琦2,3 研究员, 袁志明2,3 研究员, 孙延浩2   

  1. 1 中国铁道科学研究院 研究生部,北京 100081;
    2 中国铁道科学研究院集团有限公司 通信信号研究所,北京 100081;
    3 中国铁道科学研究院集团有限公司 国家铁路智能运输系统工程技术研究中心,北京 100081
  • 收稿日期:2020-10-21 修回日期:2020-12-16 出版日期:2021-01-28 发布日期:2021-07-28
  • 作者简介:任禹谋 (1990—),男,吉林白城人,博士研究生,主要研究方向为铁路行车指挥自动化。E-mail:304349321@qq.com。
  • 基金资助:
    国家自然基金项目高铁联合基金资助(U1834211);中国国家铁路集团有限公司科技研究开发计划课题(K2019G050);中国铁道科学研究院集团有限公司科研课题(2020YJ001)。

Research on optimization for utilization of arrival and departure tracks at high-speed railway station under condition of safety constraints

REN Yumou1,2, ZHANG Qi2,3, YUAN Zhiming2,3, SUN Yanhao2   

  1. 1 Postgraduate Department, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China;
    2 Signal & Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China;
    3 National Research Center of Railway Intelligence Transportation System Engineering Technology, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
  • Received:2020-10-21 Revised:2020-12-16 Online:2021-01-28 Published:2021-07-28

摘要: 为保障高铁列车高密度安全稳定运行,提高车站作业计划编制智能化水平,以到发线均衡利用为优化目标,制定到发线分配优化方案,为列车晚点时动态调整到发线运用预留空间;构建高铁站咽喉区和到发线整体运用优化模型,并兼顾咽喉区与到发线的连通性和制约关系,设计遗传禁忌混合算法求解;以某高铁站一段时间内行车数据为算例进行验证。研究结果表明:采用优化模型可以改进到发线运用均衡性,避免列车在咽喉区的进路冲突,增强方案的抗干扰能力;同时,遗传禁忌混合算法在进化至70代左右时收敛。

关键词: 安全约束, 高铁站, 到发线运用, 咽喉区, 遗传禁忌混合算法

Abstract: In order to ensure high-density safe and stable operation of high-speed trains, and to improve stations' intelligent operation planning, with balanced use of arrival and departure tracks as a goal, optimal plans of their distribution was made to reserve space for dynamic adjustment when the train is late. Then, an overall optimized model was established with relationship between throat area and arrival and departure tracks were being considered, and a genetic tabu hybrid algorithm was designed. Finally, driving data of a high-speed railway station for a certain period of time was taken as an example to verify the model. The results show that the optimized model can effectively improve balance of arrival and departure tracks' utilization, and avoid collision of trains in throat area, thus enhancing anti-interference ability of the plan. At the same time, the genetic tabu hybrid algorithm converges when it evolves to about 70 generations.

Key words: safety constraints, high-speed railway station, arrival and departure track utilization, throat area, genetic-tabu hybrid algorithm

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