基于旅客选择行为的航班计划模型及算法

n airline's schedule impacts passenger demands in two major ways. The first one is the flight frequency can affect the unconstrained demand in a market. The second one is that the passenger demand on a given flight can be spilled to other flights if it is larger than its flight capacity. The paper combines these two types of impacts into one passenger choice behavior model and integrates it with airline scheduling design as a unified model, in order to consider the correct interaction between airline scheduling and passenger demand, and better utilize airline's capacity. The model is a Mixed Integer Nonlinear Programming Model, which is solved by a solution algorithm based on the Branch-and-Bound method and the Sequential Quadratic Programming method. For the flight network of a major domestic airline, the algorithm can be completed in a short time for the airline scheduling.