Method for predicting and evaluating impact influence of passenger flow after large-scale activity on subway station

A technology for subway stations and activity venues, which is applied in the field of urban rail transit passenger flow management, and can solve problems such as the phenomenon and behavior that cannot be used to explain the combination of multiple modes of transportation.

Pending Publication Date: 2020-09-29
BEIJING JIAOTONG UNIV +2
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this method is: only from the perspective of the whole travel time, it is considered that passengers will only choose one mode of transportation during a trip, and it cannot be used to explain the phenomenon and behavior of multi-modal combined rides, such as connecting buses (walking, sharing, etc.) bicycle) + subway

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
  • Method for predicting and evaluating impact influence of passenger flow after large-scale activity on subway station
  • Method for predicting and evaluating impact influence of passenger flow after large-scale activity on subway station
  • Method for predicting and evaluating impact influence of passenger flow after large-scale activity on subway station

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0065] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be unders...

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 provides a method for predicting and evaluating the impact influence of the passenger flow after a large-scale activity on a subway station. The method comprises the steps of establishing and solving an optimal travel behavior decision model of individual passengers from a large activity venue to a destination point at the end moment of a large activity based on an evacuation trafficnetwork, and obtaining an alternative travel scheme set of the individual passengers; constructing and solving a large-scale activity scattered individual passenger discrete travel decision-making model by utilizing a random utility theory based on the alternative travel scheme set to obtain the probability that the passengers select each alternative scheme; and calculating the total evacuated passenger flow volume borne by each urban rail transit station after the large-scale activity is finished. According to the method, the convenience of multi-mode traffic such as walking, shared bicycles, connection buses and taxies around a large activity venue is comprehensively considered, the optimal travel decision model and the discrete selection behavior model of scattered crowds are established, and the method has important significance for advanced response and effective organization of a subway system in the period of a large activity.

Description

technical field [0001] The invention relates to the technical field of urban rail transit passenger flow management, and in particular to a method for predicting and evaluating the impact of large-scale event leaving passenger flow on subway stations. Background technique [0002] Urban rail transit has the characteristics of fast speed, high safety, convenience, and punctuality. More and more urban residents regard it as the preferred mode of travel. In recent years, with the development of my country's social economy and culture, large-scale sports events, concerts, annual meetings, press conferences and other large-scale activities have gradually increased. The common feature of these activities is that crowds gather in fixed and relatively closed places, and at the end of the stage, large-scale crowds evacuate from the venue to the outside of the venue, and evacuate through urban traffic. It is a huge challenge for urban managers to bring serious impacts and even have a...

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): G06Q10/04G06Q50/26G06Q10/06
CPCG06Q10/04G06Q50/26G06Q10/067G06Q10/047G06Q10/06315
Inventor 吴建军蒋鹏尹浩东肖文军孙会君杨欣辛彤杨桥晏国杰
Owner BEIJING JIAOTONG UNIV
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