基于排队论和Anylogic仿真的车站进站排队优化

通过实地采集数据，应用排队论和Anylogic软件仿真，研究了目前既有站和部分高铁站进站排队时间过长和用户体验差的问题。发现通过调整不同排队方式和增减设备数量，可满足改善旅客进站体验的目的。研究结果表明，混合式排队适应于目前大客流车站进站，并列式排队适应于小客流车站，并可通过调整关键设备数量来提高进站效率，减少旅客排队等待时间和改善旅客进站的用户体验。

Queuing optimization of railway station entrance based on queuing theory and Anylogic simulation

Through collecting the passenger queuing data in the railway station, and using the queuing theory and Anylogic software simulation, this paper studied the problem of long queuing time and poor user experience in both existing railway stations and part of high speed railway stations. It was found that the customer satisfaction could be improved by adjusting different queuing modes and increasing the number of equipment. The results indicate that the hybrid queuing mode can be used in the grand passenger station, and the parallel queuing mode can be used in the small and medium passenger station. Depending on the different situation, the station staff can adjust the number of?key equipment to improve the efficiency of station entrance, reduce passenger queuing time and improve the user experience.