Analysis of High-Speed Rail Dynamic Pricing Model Based on Big Data Analysis

High speed railway passenger ticket prices are allowed to be dynamically adjusted within a certain range. The dynamic adjustment of ticket prices needs to be based on big data analysis of passenger travel to determine the dynamic pricing model. On the basis of big data analysis based on passenger travel needs, it is possible to clarify the basic attributes and travel characteristics of specific high-speed rail passengers, as well as the impact of railway passenger train number characteristics on group passenger travel choices, and analyze the dynamic pricing process for group passengers. The dynamic pricing model should meet the demand for maximizing revenue and rely on computer related algorithms to solve these problems.