Dynamic Pricing Model for Flight Based on Passenger Behavior Choice and its Solution of Particle Swarm Optimization

Dynamic pricing model is the core content of revenue management of airline companies. The paper conducts comparison and analysis on both domestic and foreign pricing models and points out some deficiencies existing in the current researches. Through introducing logit model in consumer choice theory, the paper establishes dynamic pricing model based on passenger choice behavior and adopts particle swarm algorithm to seek optimized solution for the model. Finally, through instance analysis, the passage introduces the process of figuring out solutions for the model.