“Wash hands frequently, reduce aggregation, and wear masks” is an important measure for the prevention and control of the new crown pneumonia epidemic. Rail transit is the basic means of transportation to ensure the daily travel of citizens. Carriages and stations are both densely populated places. Reducing the density of carriages and platforms is an urgent problem for rail transit operations in the epidemic. Therefore, this paper proposes a method for dynamic marshalling of trains based on virtual coupling in a major epidemic situation, describes in detail the operation mode of virtual coupling trains, and establishes a marshalling planning model based on passenger flow to optimize the scheduling of virtual coupling trains to reduce passenger density at stations. Then, combined with the virus infection probability model and social force-based passenger movement model, the infection risk of the entire process of passenger subway travel under virtual coupling was analyzed. After that, Matlab was used to simulate the infection analysis under the virtual coupling system and compare it with the traditional communication based train control system. The risk of infection during the entire journey of a passenger on the subway is less than that of CBTC. Finally, according to the results of simulation analysis, effective measures can be given that can be used in conjunction with virtual coupling to reduce the risk of infection.

“经常洗手，减少聚集，并戴口罩”是预防和控制新的冠状肺炎流行的重要措施。铁路运输是确保公民日常出行的基本交通工具。马车和车站都是人口稠密的地方。对于流行病中的铁路运输业务而言，降低车厢和平台的密度是一个紧迫的问题。因此，本文提出了一种在重大疫情中基于虚拟耦合的列车动态编组方法，详细描述了虚拟耦合列车的运行方式，建立了基于客流的编组规划模型，以优化虚拟耦合的调度。火车以减少车站的乘客密度。然后，结合病毒感染概率模型和基于社会力量的旅客出行模型，分析了虚拟耦合下旅客地铁出行全过程的感染风险。之后，将Matlab用于模拟虚拟耦合系统下的感染分析，并将其与基于传统通信的列车控制系统进行比较。乘客在地铁的整个旅程中受到感染的风险要低于CBTC。最后，根据模拟分析的结果，可以给出可以与虚拟耦合结合使用以降低感染风险的有效措施。Matlab用于模拟虚拟耦合系统下的感染分析，并将其与基于传统通信的列车控制系统进行比较。乘客在地铁的整个旅程中受到感染的风险要低于CBTC。最后，根据模拟分析的结果，可以给出可以与虚拟耦合结合使用以降低感染风险的有效措施。Matlab用于模拟虚拟耦合系统下的感染分析，并将其与基于传统通信的列车控制系统进行比较。乘客在地铁的整个旅程中受到感染的风险要低于CBTC。最后，根据模拟分析的结果，可以给出可以与虚拟耦合结合使用以降低感染风险的有效措施。