考虑社交距离的火车站检票过程建模研究

With the COVID-19 pandemic in China gradually turned better, the railway passenger transport services are gradually back to normal, and the railway stations accommodate a large number of passengers every day. The social distancing between passengers will affect their behaviors under the "Category B management" policy in China. This study investigated the check-in area of Beijing South Railway Station and developed a cellular automaton model based on potential energy field. The paper also proposed the decision function of passenger queue spacing under the bounded rationality mechanism to study the influence of social distance between passengers on the ticket checking process based on the check-in process in Kunming Railway Station and Chongqing West Railway Station . The simulation results showed that: the passenger's average arrival time and the total check-in time are affected by different strength of "bounded rationality". Under the experimental conditions of this paper, the close contact times of passengers are positively correlated with the strength of bounded rationality. In the queuing process, when the difference between the initial selection of passengers increases by 0.4 meters, the average share of gate increases by 3.3%, the average arrival time increases by 14.9%, the average check-in time increases by 20.5%, and the ratio of check-in time to arrival time of passengers increases by 5.7%. In addition, the increase of the proportion of completely rational passengers will increase the passenger average arrival time. When the proportion of completely rational passengers is small, the decrease of the proportion has little effect on the check-in time, but the number of close contacts between passengers increases accordingly.