基于旅客分类的高速铁路平行车次动态定价研究

摘要

Under the single fare system,the attendance rates of the trains which run on the same OD of the same high-speed rail line is unbalanced.To solve the problem,according to the substitutability of the trains, the passengers were subdivided based on the analysis of the sensitivity of time,the sensitivity of fare and the preference of departure time.The psychological price of passengers was used to describe the price sensitivity. Considering the correlation of two trains,the joint pricing model of dynamic programming for discrete time was developed with the objective of maximizing the total expected revenue of the two trains.The relationship be-tween the optimal pricing,pre-sale time and the remaining seats was analyzed through a numerical example. Besides,the dynamic pricing decision of two trains under different demands was studied by ticket purchase sim-ulation.This paper provides theoretical basis for dynamic pricing of multiple trains in high-speed railway.%针对目前单一票价下,同一高速铁路线路同一OD间,两列列车上座率不均衡的情况,根据列车之间的相互替代性,在分析旅客时间敏感性、价格敏感性及出发时段偏好的基础上,对旅客进行细分,并利用旅客的心理价位来刻画价格敏感性.以两列列车整体期望收益最大为目标,建立离散时间的动态规划联合定价模型.通过算例分析两列车之间最优定价与预售时间、剩余席位之间的关系,并通过购票仿真研究不同需求下两列车动态定价决策,为高速铁路多列车动态定价提供理论依据.