China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (S1): 51-56.doi: 10.16265/j.cnki.issn1003-3033.2022.S1.2310

• Safety social science and safety management • Previous Articles     Next Articles

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 Online:2022-06-30 Published:2022-12-30

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