摘要
我国铁路客运有非常明显的淡旺季客流区别。如何使席位预分方案更加贴近实际的客流需求、提高铁路客运收益,成为客运管理的新问题。席位智能预分通过对历史客流数据的分析,获取未来客流的预测值,并将预测值与客运管理人员的经验相结合,形成更加科学的预分方案。引入席位智能预分后,有效提高了客座率。
There are many obvious differences between off-season and peak season for the passenger flow in the Chinese railway transport. It is a new issue for the management of passenger transport how to make the protocol for the assignment more close to the actual passengers' requirement and to improve the benefit for the railway transport. This article analyzed the historical traffic data to obtain the value of the future passenger flow prediction, combined the prediction value with the experience for the staff of the management, formed more scientific intelligent seat predistribution scheme. The percentage of the passenger's seated was enhanced effectively by the scheme.
出处
《铁路计算机应用》
2016年第1期30-33,共4页
Railway Computer Application
关键词
基于模板的预分
基于预测的预分
预分方案
预分任务
model based pre-distribution
forecast based pre-distribution
pre-distrihution scheme
pre-distribution mission