摘要
为改善高铁客运收益,以票额限制和列车席位能力为约束条件,建立单列车多停站方案模型,选取关键节点数据更新客流需求,动态调整票额分配方案,采用粒子群算法对此非线性规划模型求解,按照实际运营数据进行算例分析,得到动态调整前后的票额分配方案满意解,对两种方案进行分析对比。结果表明,与不进行动态调整的方案相比,构建的模型在充分利用列车席位能力的前提下,可使铁路部门收益提高6.4%,更好地适应不断变化的旅客购票需求特点,为高速铁路票额分配方法提供优化。
In order to improve the revenue of high-speed railway,a research on ticket allocation under the conditions of single train and multiple train stop plans is established with ticket restriction and the capacity of train seats as decision variables,updating the ticket booking demand of passengers with the key node date and adjusting to the ticket allocation plan dynamically.A nonlinear integer programming model is solved by use of particle swarm algorithm.The numerical experiments with the actual operation data scale sre carried out to obtain the optimal ticket allocation scheme after analyzing and comparing the ticket allocation schemes before and after the dynamic adjustment.The result shows that the system revenue of the railway company is increased by about 6.4%compared with the scheme without considering dynamic adjustment.This ticket allocation can make full use of the capacity of train seats and better meet the characteristics of booking demand at different booking stages.The proposed model can provide an optimization method for ticket allocation of single high-speed trains.
作者
王洋
刘斌
WANG Yang;LIU Bin(School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China)
出处
《交通科技与经济》
2020年第4期71-76,共6页
Technology & Economy in Areas of Communications
关键词
高速铁路
票额分配
动态调整
粒子群算法
单列车
high-speed railway
ticket allocation
dynamic adjustment
particle swarm optimization
single train
