Abstract: 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.