Airline revenue management is used to study the fare strategy and revenue optimization method of railway passenger transport in the context of fare reform. Based on income and seat management, this paper aims to build a railway passenger ticket dynamic pricing model with maximum revenue for the railway operation department. At the same time, the optimal seat selection method is proposed for the seat management strategy. Finally, the comparison between the standard particle swarm optimization algorithm and elite particle swarm optimization algorithm verifies that the dynamic pricing and optimal seat selection method can be used to increase the profit.
展开▼
