中国铁道科学2013，Vol.34Issue(3)：128-132,5.DOI:10.3969/j.issn.1001-4632.2013.03.21
基于客流预测的铁路旅客列车票额智能分配方法
Intelligent Seat Allotment Method for Railway Passenger Train Based on Passenger Flow Forecast
摘要
Abstract
Based on the China Railway Ticketing and Reservation System (TRS) dataset,train ticket data were converted into the time series data of passenger volume.Series analysis method based on improved moving average time was adopted to achieve train daily station-station passenger flow forecast by seat classes.Comprehensively considering seat cleavage factors,ticket protective factors and traffic culture factors,station-station seat adjustment model was established.With the minimum long-distance ticket used by seat cleavage for station-station seat allocation as objective function,seat occupied optimization model was established.The intelligent seat allocation model was composed of the above two models and the pre-allocation scheme was obtained by solving the model.The application results show that seats can be allocated according to passenger needs automatically,fast,reasonably and effectively,and at present the method has been used in China Railway Ticketing and Reservation System.关键词
票额分配/客流预测/票额裂解控制系数/票额保护系数/客流培养系数Key words
Seat allotment/ Passenger flow forecast/ Seat cleavage factor/ Ticket protective factor/ Traffic culture factor分类
交通工程引用本文复制引用
王洪业,吕晓艳,周亮瑾,游雪松..基于客流预测的铁路旅客列车票额智能分配方法[J].中国铁道科学,2013,34(3):128-132,5.基金项目
铁道部科技研究开发计划项目(2011X018-A) （2011X018-A）
中国铁道科学研究院行业服务技术创新项目(2010YJ10) （2010YJ10）
