Rail transit section passenger flow short-time prediction method and system based on big data technology

Abstract

The invention provides a rail transit section passenger flow short-time prediction method and system based on a big data technology, and a computer readable storage medium. The rail transit section passenger flow short-time prediction method comprises the following steps: a historical data processing step: storing and querying historical passenger flow data; a real-time data processing step: obtaining passenger station entering and exiting data, converting the passenger station entering and exiting data into real-time passenger flow data, and storing the real-time passenger flow data; and a passenger flow prediction and display step: performing passenger flow prediction according to the historical passenger flow data and the real-time passenger flow data, and obtaining and displaying a passenger flow prediction result. The rail transit section passenger flow short-time prediction method and system consider both real-time performance and accuracy of section passenger flow prediction, and can be applied to short-time prediction and real-time calculation scenes of the section passenger flow of the urban railway today.

Description

technical field [0001] The invention relates to the field of traffic technology, in particular to a method and system for short-term forecasting of passenger flow in rail transit sections based on big data technology. In particular, it involves a short-term prediction method for passenger flow in rail transit sections based on big data technology. Background technique [0002] Cross-section passenger flow data plays an important role in the service evaluation system of urban rail transit systems. Real-time cross-sectional passenger flow is mainly used in two aspects due to its timeliness: one is the real-time calculation of cross-sectional passenger flow, which is used for information release and passenger guidance. , is the basic condition for realizing dynamic traffic management; the second is the short-term forecast of cross-section passenger flow, which is used to represent the future passenger flow state, and is mainly used for passenger flow early warning, emergency ev...

AI Technical Summary

Problems solved by technology

Although this patent document is positioned as a real-time passenger flow forecasting system, it does not introduce the real-time performance of the data storage and processing system used in the forecasting algorithm

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