Microscopic simulation on ticket office of large scale railway passenger station

In order to accurately value the performance and service level of ticket office of large scale railway passenger station, the passenger behavior characteristics of ticketing process were analyzed and the simulation conceptual model on ticket office was presented. The model of the ticketing individual behavior logic and quantitative indicators were developed based on SIMIO simulation software from the microscopic view. Taking the south ticket office of Dalian Railway Station as an example, three experiment schemes were designed. Simulation result shows that there were significant differences in the output performance indexes between the three programs with the same input. The simulation based on the individual behavior reproduces the self-organization phenomenon successfully, the 95% confidence interval of ticketed passenger number is [13778, 13986], so the situation of ticketed passenger number in traditional method exceeds the practical scope is avoided.