Abstract: High-speed railway needs a ticket price adjustment strategy based on market competition environment. Considering probability of passenger purchasing ticket, railway seats inventory and dynamic price in time domain, giving expression formula of passenger purchasing benefit, using dynamic programming method to deduce recursive formula between seats inventory and dynamic ticket price, a dynamic adjustment model of railway ticket price under market competition environment is eventually built. Through simulation data from Beijing-Guangzhou High-speed Railway and the air transport with same direct OD in a 60-day pre-sale period, a conclusion is reached that arriving probability of passenger purchasing ticket submits to non-homogeneous poisson distribution, finishing 4 dynamic adjustments on seats inventory:500, 375, 270, 207, and relevantly the railway ticket price is dynamically adjusted:900yuan, 950 yuan, 1 000 yuan, 920 yuan. The research results can provide simulation method for high-speed railway ticket price system under comprehensive transportation environment.

Key words: market competition, seats inventory, dynamic ticket price, arriving probability of purchasing ticket, dynamic programming, behavior simulation