摘要
针对列车间相互替代性、差异性及旅客选择行为对票额分配的影响,利用旅客疲劳恢复时间对列车舒适度进行定量化研究,在考虑列车运行时间、舒适度、停站方式差异性的基础上,以铁路部门和旅客的系统效益最大化为目标,构建考虑旅客旅行时间的高速铁路多列车票额分配随机非线性整数规划模型,并设计模拟退火求解算法.以京沪高铁列车为对象进行实例分析,并与只考虑铁路收益下的票额分配方案对比,结果表明:考虑旅客旅行时间的票额分配方案能在保证铁路收益提升约2.3%的前提下,使得旅客旅行时间和旅行成本均降低约3.6%,铁路部门和旅客的系统效益提高约7.1%,并且能够更好地满足长途旅客的出行需求.所构建模型能够为高速铁路多列车的票额分配提供优化方法.
Aiming at the influences of substitutability,difference and passenger choice behavior on ticket allocation,the comfort of the train was quantified by the fatigue recovery time of passengers.Considering the differences of the running time,comfort and stop plan of the train,the stochastic nonlinear integer programming model for ticket allocation of multiple high-speed trains was formulated by taking into account the passenger travel time for maximizing the system revenue of the railway company and the passenger. The simulated annealing algorithm was designed to solve the model and a case study was carried out with the Beijing-Shanghai high-speed trains as an example. Compared with the ticket allocation scheme under the condition of maximizing the revenue of railway company,the results showthat the revenue of railway company has an improvement of about 2. 3%,the passenger travel time and the passenger travel cost are both reduced by about 3. 6%,the system revenue of the railway company and passengers is increased by about 7. 1% and the travel demand of long-haul passengers is better satisfied through the ticket allocation scheme considering the passenger travel time. The proposed model can provide an optimization method for the ticket allocation of multiple high-speed trains.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2017年第5期1062-1068,共7页
Journal of Southeast University：Natural Science Edition
基金
国家自然科学基金重大资助项目(U1434207)
中央高校基本科研业务费专项资金资助项目(2016YJS070)
中国铁路总公司科技研究开发计划资助项目(2015X006-G)
关键词
高速铁路
票额分配
旅客旅行时间
模拟退火算法
多列车
high-speed railway
ticket allocation
passenger travel time
simulated annealing algorithm
multiple trains
