Abstract: The maximum number of gathering passengers in railway stations is one of the main basis for designing the scale of railway passenger stations. Taking Chengdu East Railway Station as an example, by extracting the data of ticket selling and collecting equipment, this paper calculated the time of early arrival of passengers, and used three distribution forms of logarithmic normal, compound negative index, and Weibull to fit and analyze the rules of passengers arrival, and constructed the checking model of the maximum number of gathering passengers in railway stations. The test results show that the fitting effect of logarithmic normal distribution on the early arrival rule of railway passengers is better than the other two distributions.The calculation result based on the optimal fitting distribution is more accurate, which is conducive to accurately grasp the maximum number of gathering passengers in railway stations.