Multi-model mixed passenger transport junction station passenger flow volume prediction method and system

Abstract

The invention relates to the technical field of traffic passenger flow prediction, and discloses a multi-model mixed passenger traffic junction station passenger flow prediction method and system, and the method comprises the steps: firstly predicting the daily total passenger flow among all operation sections through combining an operation section daily passenger flow prediction model and a train number passenger flow prediction model; and then the total flow among the sections is distributed to each train number among the sections, so that the passenger flow prediction precision is improved. And meanwhile, the predicted value is combined with a passenger pull-in rule, a prediction result is implemented to a smaller time unit, a pull-in passenger flow prediction value of each hour of a prediction target day is output, and fixed-point data support is provided for a passenger transport junction station so as to formulate a better passenger flow control scheme.

Description

technical field [0001] The invention relates to the technical field of traffic data prediction, in particular to a multi-model hybrid passenger flow prediction method and system for a passenger terminal. Background technique [0002] In recent years, with the gradual improvement of my country's high-speed railway network, the flow of production factors in the transportation circle has become increasingly frequent, which has further promoted the continuous acceleration of the development of new urbanization. During this process, the effect of urbanization in the metropolitan area began to appear, and the scale of high-speed rail intercity passenger flow continued to expand, and new features such as high density, commuting, and randomness emerged. [0003] Nowadays, there are many factors that affect the passenger flow of railways. Holidays, epidemic situation, etc. will lead to large fluctuations in passenger flow, thus increasing the difficulty of passenger flow forecasting ...

AI Technical Summary

Problems solved by technology

[0005] Through the summary and induction of the existing passenger flow forecasting methods of passenger transport hub stations, the following two problems are obtained: ①Short-term forecasting of railway passenger flow forecasting is generally carried out in the time unit of month, week, and day, but the forecast results cannot be implemented in more specific time period

② There are many factors affecting the passenger flow of railway passenger stations, resulting in the characteristics of large fluctuation and strong randomness of passenger flow, and the accuracy of prediction results is not high

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