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