Prediction method and system for multiple traffic means of comprehensive passenger traffic hub

Abstract

The invention discloses a prediction method and system for multiple traffic means of a comprehensive passenger traffic hub. The prediction method comprises the first step of predicting the total arriving passenger flow through historical data of passenger flow and a data statistical method, and the second step of predicting the passenger flow sharing proportion of each traffic mean through historical data of passenger flow sharing of the traffic means. According to the prediction method for the multiple traffic means of the comprehensive passenger traffic hub, a mathematical statistical theory and a mathematical modeling method are adopted, a scientific and reasonable passenger flow prediction model is built for the total passenger flow of the hub and the passenger flow sharing proportion of each traffic mean, the problems that as an existing comprehensive passenger traffic hub is large in passenger flow fluctuation, and the passenger flow sharing proportions of the traffic means are unbalanced, the existing hub is low in evacuation efficiency of passenger flow and passengers cannot know the traffic capacity of the traffic means are solved, and the highest evacuation efficiency of the passenger flow of the hub and the overall optimizing of the system are achieved.

Description

technical field [0001] The invention relates to the field of transportation, in particular to a method and system for predicting multi-traffic modes of a large-scale comprehensive passenger transport hub based on dynamic passenger flow. Background technique [0002] The comprehensive passenger transport hub is a facility for the connection and transformation of various passenger transport modes in the city, and is an indispensable and important part of the urban transport system. Its main function is to meet the effective connection between the hub's long-distance, railway, civil aviation and other external transportation methods and urban public transportation methods such as buses, subways, taxis, and social vehicles, so as to realize efficient, safe and orderly passenger flow distribution and passenger transfer. [0003] The passenger flow of the comprehensive passenger transport hub is affected by various factors such as holidays, time slots, and weather. The arrival pas...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of low passenger flow collection and distribution efficiency in existing hubs, the present invention provides a comprehensive passenger transport hub multi-traffic mode prediction method and system, using mathematical statistical theory and data modeling methods as technical means to establish scientific and reasonable passenger flow forecasting and distribution Model, in order to achieve the highest efficiency of hub passenger flow collection and distribution and overall optimization of the system

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