中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (S1): 51-56.doi: 10.16265/j.cnki.issn1003-3033.2022.S1.2310

• 安全社会科学与安全管理 • 上一篇    下一篇

疫情下城市轨道交通车底运用计划编制

陈然1(), 吴首蓉2, 路超3   

  1. 1 江苏警官学院 治安管理系, 江苏 南京 210031
    2 中国铁道科学研究院集团有限公司电子计算技术研究所, 北京 100081
    3 陕西警官职业学院 治安管理系, 陕西 西安 710021
  • 收稿日期:2022-02-19 修回日期:2022-04-26 出版日期:2022-06-30
  • 作者简介:

    陈 然 (1989—),男,江苏南京人,博士,讲师,主要从事交通安全、智能交通等方面的研究。E-mail:

    吴首蓉 工程师

    路 超 讲师

Study on generating train stock utilization plans during epidemic period

CHEN Ran1(), WU Shourong2, LU Chao3   

  1. 1 Department of Public Security Administration, Jiangsu Police Institute, Nanjing Jiangsu 210031 China
    2 Institute of Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
    3 Department of Public Security Administration, Shaanxi Police College, Xi'an Shaanxi, 710021, China
  • Received:2022-02-19 Revised:2022-04-26 Published:2022-06-30

摘要:

为保证城市轨道交通安全、有序运营,研究新型冠状病毒肺炎(COVID-19)疫情期间城市轨道交通车底运用计划编制问题。首先,考虑车底检修作业、接续的通风作业、快速消毒作业和深度消毒作业的运行累计时间和作业时间约束,尤其是检修作业与消毒作业同时进行的作业时间约束,以总车底接续费用最少为目标构建数学模型;其次,利用GAMS验证数学模型的有效性和解空间非空;然后,针对求解器求解时间长、计算规模小等缺陷,设计快速的求解算法;最后,针对南京地铁3号线疫情期间的运行图,求解车底运用计划并进行输出展示。结果表明:计算评价指标中,使用车底数21列,进行快速消毒41次,深度消毒33次,车底运用率49.72%,运算耗时14 ms。

关键词: 城市轨道交通, 车底运用计划, 新型冠状病毒肺炎(COVID-19), 消毒作业, 快速求解

Abstract:

In order to ensure the safety and orderly operation of urban rail transit, the train stock utilization plan during the COVID-19(Corona Virus Disease 2019) outbreak was studied. Firstly, a mathematical model was built with the objective of minimizing the total train stock utilization cost, considering constraints of cumulative train stock travelling time and operation time of maintenance, continuous ventilation operation, rapid disinfection operation and deep disinfection operation, especially the operation time constraint when simultaneous maintenance and disinfection operations at the same time. Secondly, the effectiveness and non-empty solution space of the mathematical model are verified by GAMS. An effective algorithm was proposed for solving the defects of a long time and small calculation scale of the solver. Finally, the proposed algorithm was used to solve the train stock utilization plan, based on the timetable of Nanjing Metro Line 3 during the epidemic period. The results show that, in the calculation of evaluation indicators, the number of train stocks was 21, rapid disinfection was performed 41 times, and deep disinfection was performed 33 times. The application rate of the train stock was 49.72%, and the time cost was 14 ms.

Key words: metro, train stock utilization plan, corona virus disease 2019 (COVID-19), disinfection operation, fast solving