本文旨在探讨收益管理在高速铁路客运中的应用,给出了存在多级票价时,考虑旅客选择行为的铁路客运收益管理模型,优化结果能够同时给出发车指令和座位出售限制.利用模拟数据对模型进行了数值试验,表明在不同路段长度下,考虑旅客选择行为的总收益较需求独立模型均有所提高,且随着票价等级增多而增长.%This paper deals with the application of revenue management to high-speed railway industry. We present a railway passenger revenue management model considering traveler choice behavior in case of multi-fare. The result gives the booking limits of each fare class and train scheduling as well. Numerical experiments on simulation data show that total revenue of the choice model is higher than those of independent demand, and surges with the increase of fare classes.
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