Subway station passenger flow micro statistics and scheduling method

A scheduling method and technology for subway stations, applied in computing, instrumentation, data processing applications, etc., can solve problems such as difficulty in getting on and off passengers, potential safety hazards, and impact on subway operation efficiency, and achieve simple implementation, clear purpose, and strong intuition. Effect

Inactive Publication Date: 2016-04-13
QINGDAO ACADEMY OF INTELLIGENT IND
View PDF0 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the passenger flow is not evacuated in time, the operating efficiency of the subway will be seriously affected, making it difficult for passengers to get on and off the train smoothly, and causing a series of problems such as potential safety hazards
[0003] The research on the traffic characteristics of rail transit passengers at home and abroad is still in its infancy. When urban rail transit develops to a certain extent, how to improve passenger ride efficiency, reduce congestion, improve passenger comfort, and shorten train running intervals has become a key factor.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Subway station passenger flow micro statistics and scheduling method
  • Subway station passenger flow micro statistics and scheduling method
  • Subway station passenger flow micro statistics and scheduling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0074] The present invention is based on IC card intelligent reading and artificial long-term observation and selection. The time interval of recording is represented by T, and T is initially set to 15 minutes, which can be regarded as short-term passenger flow, that is, a microscopic dynamic passenger flow real-time calculation method. The specific implementation is as follows:

[0075] (1) Passenger flow model generated by the automatic fare collection system

[0076] The subway automatic ticket gate is a necessary place for all passengers to enter and exit the station. According to the entry and exit data automatically recorded by the automatic ticket gate, the number of people entering and exiting the station within the T time period can be obtained, so as to obtain the passenger flow model of entering and exiting the station. Methods as below:

[0077] Q AFC = Σ i = ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a subway station passenger flow micro statistics and scheduling method. The method comprises the following steps of building a model of the total number of people entering and leaving an automatic fare collection entrance in the time period T, and making a scheduling strategy according to the model; building a dynamic moving model of escalators and pedestrian stairs, and making a scheduling strategy according to the model; and building an in-station-hall dynamic subway waiting people number model, and making a scheduling strategy according to the model. The method has the advantages that the intuitive performance is good; the implementation is simple; and the intentionality is definite, and the like. By the method provided by the invention, the number of people in station entering ticket check-in gate and a station leaving ticket check-in gate in a subway system, the number of people in passages and stairs, and the number of subway waiting people in different station halls in each time period can be predicted; easy-to-be-crowded regions such as station entering and leaving ticket check-in gates, stairs and platforms are subjected to maximum passenger flow threshold value analysis and prediction distribution, so that the passenger flow rule is provided for the relative traffic study; and the data analysis and support is provided for the infrastructure building.

Description

technical field [0001] The invention relates to the field of subway passenger flow dispatching, in particular to a method for microscopic statistics and dispatching of subway station passenger flow. Background technique [0002] With the growth of urban transportation demand, the urban rail transit network of several large cities in China, such as Beijing, Shanghai, Guangzhou, etc., has been preliminarily established. Larger station platforms, such as transfer stations, are more congested due to the concentrated introduction of passenger flow during peak hours. If the passenger flow is not evacuated in time, the operating efficiency of the subway will be seriously affected, making it difficult for passengers to get on and off the train smoothly, and causing a series of problems such as potential safety hazards. [0003] The research on the traffic characteristics of rail transit passengers at home and abroad is still in its infancy. When urban rail transit develops to a cer...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/30
Inventor 范东甘雨鹭李焱刘彦彦
Owner QINGDAO ACADEMY OF INTELLIGENT IND
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products