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Real-time prediction method for passenger flow volume of rail transit subway station

A subway station, real-time prediction technology, applied in the direction of biological neural network model, electrical components, neural architecture, etc., can solve the problems of low accuracy and poor effectiveness, and achieve the goal of reducing limitations, improving relevance, and optimizing passenger transport organization schemes Effect

Active Publication Date: 2019-11-22
SHANGHAI UNIV OF ENG SCI
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Problems solved by technology

[0004] The invention provides a real-time prediction method for passenger flow in rail transit and subway stations, which solves the problems of poor effectiveness and low accuracy of existing passenger flow calculation methods

Method used

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  • Real-time prediction method for passenger flow volume of rail transit subway station
  • Real-time prediction method for passenger flow volume of rail transit subway station
  • Real-time prediction method for passenger flow volume of rail transit subway station

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Embodiment Construction

[0023] The specific implementation manner of the present invention will be described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0024] Such as figure 1 As shown, the present invention proposes a kind of real-time prediction method that is used for rail transit subway station passenger flow, takes the time length between the first train departure moment of two trains adjacent to the subway station and the moment after the next train leaves the station for a period of time as A statistical period, calculate the WiFi passenger flow X of the entire subway station in the previous statistical period on the current characteristic day p t-1 , Video passenger flow density of each congestion point area j And use this as the input of the neural network to predict in real time the actual passenger flow Y of the entire subway station in the current statistical cycle on the current characteristic day p t In this way, when the passenger flow...

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Abstract

The invention belongs to the technical field of urban rail transit intelligent management. The real-time prediction method for the passenger flow volume of the rail transit subway station comprises the steps that the duration between the train departure moment before two adjacent trains of the subway station and the moment after the next train leaves the station for a period of time serves as a statistical period, and a certain peak time period of a current characteristic day is divided into N statistical periods; calculating the WiFi passenger flow Xt-1 of the whole subway station and the video passenger flow density of each congestion point area j in the last statistical period of the current characteristic day; wiFi passenger flow Xt-1 of a subway whole station and video passenger flowdensity of each congestion point area j in a previous statistical period of the current characteristic day are used as input; predicting the actual passenger flow Yt of the whole subway station in thecurrent statistical period of the current characteristic day in real time, thereby completing the real-time prediction of the passenger flow of the whole subway station in the current statistical period of the current characteristic day; and repeating the above steps to complete real-time prediction of the subway total station passenger flow volume in N statistical periods in a peak period.

Description

technical field [0001] The invention belongs to the technical field of urban rail transit intelligent management, and in particular relates to a real-time prediction method for passenger flow at rail transit subway stations. Background technique [0002] With the continuous acceleration of the urbanization process in our country and the continuous increase of urban population, the urban traffic mode oriented by public transport makes the main undertaker of public transport in big cities—subway and subway stations become densely populated places. Excessive passenger flow and over-crowding not only easily lead to station congestion, but also reduce passenger travel efficiency and ride comfort, and further easily induce crowded stampede and other personal safety accidents, with disastrous consequences. Therefore, reasonable control of passenger flow in subway stations and accurate early warning of station passenger flow exceeding the security personnel density are of great sign...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/08G06N3/04
CPCH04W24/08G06N3/045
Inventor 胡华刘志钢邓紫欢郝妍熙刘秀莲
Owner SHANGHAI UNIV OF ENG SCI
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