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Method for predicting influence of heavy passenger flow of urban rail transit network

A technology of urban rail transit and prediction method, which is applied in the field of large passenger flow impact and emergency response, and can solve the problems of lack of analysis and prediction methods for the impact of time and space propagation and diffusion

Active Publication Date: 2011-08-31
TONGJI UNIV
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

Urban rail transit is a large-capacity rapid passenger transport system. Under networked operating conditions, the impact of large passenger flow events will show its own laws and characteristics in time and space. There is no effective analysis and prediction method for the influence of time and space propagation and diffusion on

Method used

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  • Method for predicting influence of heavy passenger flow of urban rail transit network
  • Method for predicting influence of heavy passenger flow of urban rail transit network
  • Method for predicting influence of heavy passenger flow of urban rail transit network

Examples

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specific Embodiment

[0076] Specific example: Forecasting the impact of large passenger flow on rail transit network during the 2010 Shanghai World Expo

[0077] (1) Implementation background

[0078] Shanghai will host the World Expo in 2010. According to relevant forecasts, the total number of visitors during the Shanghai World Expo will exceed 70 million, with an average daily visitor flow of 400,000, a peak day of 600,000, and an extreme peak day of more than 800,000. , When the maximum passenger flow out of the park reaches 200,000 person-times / hour. At that time, a large number of passengers flowed into the rail transit South Xizang Road Station, Madang Road Station, Yuntai Road Station and Yaohua Road Station near the Expo site in a short period of time, resulting in a large passenger flow incident. Due to the characteristics of large number of people, complex flow of people, high mobility and other uncertain factors, large passenger flow events face greater traffic pressure on the transp...

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Abstract

The invention discloses a method for predicting the influence of a heavy passenger flow of an urban rail transit network, which comprises the following step: (1) constructing an abstract model of the urban rail transit network; (2) generating a heavy passenger flow event; (3) setting the passenger flow ratio of a destination station / source station of a heavy passenger flow; and (4) analyzing the influence of the heavy passenger flow on the network. The method can be applied to the development of an urban rail transit network heavy passenger flow organization simulation system. The system can be used in an emergency handling center of the urban rail transit network to realize the automation and intellectualization of the analysis on the influence of the heavy passenger flow event and emergency handling. Meanwhile, the system is often used by an emergency handling department in a daily emergency monitoring process for simulating the handling process of the heavy passenger flow event anddeveloping the emergency handling capability of emergency handling personnel, and the system obtains good actual effect and enterprise benefit.

Description

technical field [0001] The invention belongs to the technical field of large passenger flow impact and emergency response in urban rail transit network operation. Background technique [0002] Large-scale urban events (expositions (such as the World Expo), large-scale sports events (such as the Olympic Games, F1 Grand Prix), large-scale celebrations (such as the National Day Celebration), holidays (such as the Spring Festival), concerts, etc.) will generate high-intensity, The high-density and large passenger flow poses a huge challenge to the urban passenger transport system. The urban rail transit network is the backbone of the urban passenger transport system. Due to the characteristics of large numbers of people, complex flow of people, and large mobility, large passenger flow events have great impact on the transportation capacity, safety, reliability, and coordination of the rail transit network. The traffic pressure caused by various aspects such as dispatching is ev...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C11/00G06Q10/00
Inventor 徐瑞华王志强朱炜
Owner TONGJI UNIV
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