基于轮辐式航线网络的航班舱位控制动态优化

摘要

To keep the seat inventory control closer to actual passenger reservation demand , and effectively improve airline revenue , a dynamic optimization model of seat inventory control is established based on the characteristics of the hub and spoke route network , from the perspective of practical operation , considering demand uncertainty and dynamics at the same time .The random arrival passenger number of different res-ervation phases is obtained by simulation , the number of seats to protect each flight segment is obtained by using genetic algorithm , and the nested grade is obtained according to the fare value .The running results show that this method can increase the total revenue by 2 .35%compared with the method using genetic al-gorithm only .It has certain reference significance .%为使航班舱位控制更贴近旅客实际订座需求，有效提高航空公司收益，基于轮辐式航线网络结构的特点，从航班实际运行的角度出发，同时考虑需求的不确定性以及动态性，建立舱位控制动态优化模型。通过模拟仿真得到各订座阶段旅客随机到达数量，运用遗传算法求得各航班舱位等级的座位保护数，根据票价价值进行等级嵌套。结果表明，该方法与单独使用遗传算法的舱位控制方法相比较，能将总收益提高2．35％，具有一定的参考意义。