摘要
分析现有铁路客流预测理论研究和系统应用,针对预测过程中缺乏对不确定因素考虑的情况,提出预测系统中事件的概念,基于大数据技术构建事件处理平台和预测系统架构,该架构为铁路客流预测实时性和准确性的提升奠定基础。
Based on the analysis of the existing theory and system application of railway passenger flow prediction,aiming at the lack of consideration to uncertainty factors in the prediction process, this article proposed the concept of uncertain event processing, built a data processing platform and prediction system architecture based on big data technique.This architecture is the basis for the improvement of real-time and accuracy of railway passenger flow prediction
作者
张军锋
贾新茹
李永
张利明
ZHANG Junfeng;JIA Xinru;LI Yong;ZHANG Liming(Institute of Computing Technologies, China Academy of Railway Sciences, Beijing 100081, China)
出处
《铁路计算机应用》
2016年第9期25-27,共3页
Railway Computer Application
基金
国家自然科学基金(U1334207)
中国铁路总公司科技研究开发计划课题(2016X005-B)
中国铁路总公司科研计划课题(2016X004-G)
中国铁道科学研究院科研专项课题(研发中心)(J2016X009)
关键词
大数据
客流预测
体系架构
big data
passenger flow prediction
system architecture
