Method and system for detecting and predicting passenger flow in urban rail transit passage

Abstract

The invention discloses a method for detecting and predicting the passenger flow in an urban rail transit passage. The method includes the steps that the passenger flow S1 at the entrance and exit of the passage is collected, the relation between the outflow amount of the passenger flow at the two ends of the passage and density of the passenger flow in the passage is built on the basis of a social force model, an empirical value S2 between pedestrian density and the outflow amount is obtained through calculation, a black box model of the to-be-detected passage is built, and passenger flow density information in the passage at the current moment and passenger flow density information S3 at the next moment are calculated by means of the empirical value and the passenger flow at the entrance and exit of the passage at the current moment. The invention further discloses a system for detecting and predicting the passenger flow in the urban rail transit passage. By means of the scheme, safety hidden hazards caused due to excessively large passenger flow density can be effectively avoided. The detection and prediction problem of the passenger flow of an urban rail transit large-curvature passage can be effectively solved, and innovativeness, practicality and scientific research value are high.

Description

technical field [0001] The invention relates to the field of pedestrian flow detection and prediction, in particular to a method and system for detecting and predicting passenger flow in urban rail transit channels. Background technique [0002] In recent years, with the deepening understanding of urban rail transit by local government management agencies and the economic demand to stimulate domestic demand, the construction of rail transit in major cities across the country has developed rapidly. Due to its large capacity, low energy consumption, low pollution and convenient ride, urban rail transit has attracted more and more passengers, and has become the first choice of public transportation for people to travel. As far as Beijing is concerned, the daily operation volume of the subway has exceeded 10 million passengers, and the safety management of passengers has become a huge challenge. According to statistics, there are 18 subway lines in operation in Beijing. By 202...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method and system for detecting and predicting passenger flow in urban rail transit channels. In the prior art, there are blind spots in the real-time detection of passenger flow in the channel, the inability to warn of changes in passenger flow density in real time, and the high cost of detection equipment. , especially for curved passages or the pedestrian flow in the passage is a two-way pedestrian flow that is prone to collapse

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