Public space pedestrian flow motion risk discrimination method based on dynamic data analysis

A technology of dynamic data and discriminant methods, applied in data processing applications, instruments, resources, etc., can solve problems such as the lack of close relationship between pedestrian status and risk, and insufficient timeliness

Pending Publication Date: 2021-03-09
上海交通大学设计研究总院有限公司
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Problems solved by technology

However, among these two points, the abnormal behavior identified by the former is not closely related to pedestrian conflicts and pedestrian state risks, and the latter is usually post-event analysis, that is, the analysis of accidents that have occurred is not time-sensitive.

Method used

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  • Public space pedestrian flow motion risk discrimination method based on dynamic data analysis
  • Public space pedestrian flow motion risk discrimination method based on dynamic data analysis
  • Public space pedestrian flow motion risk discrimination method based on dynamic data analysis

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Embodiment Construction

[0096] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0097] According to one or more embodiments, a method for judging the risk of pedestrian flow movement in public space based on dynamic data analysis is disclosed, such as figure 1 shown, including the following steps:

[0098] S1. Obtain camera angle frame information and related parameter information of a target scene, and extract real-time dynamic data of pedestrian flow;

[0099] S2: Use the extracted real-time dynamic data of pedestrian flow to calculate and obtain pedestrian flow risk indicators;

[0100] S3: Establish a pedestrian flow risk stratification model for the target scene according to the pedestrian flow risk index;

[0101] S4: Calculate and obtain the risk bias of pedestrian flow movement according to the pedestrian flow risk index;

[0102] S5: Establish a deep learning training model of the target scene according to the pedestrian flow...

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Abstract

The invention discloses a public space pedestrian flow motion risk discrimination method based on dynamic data analysis, solves the problem of lack of effectiveness and real-time performance in current risk discrimination. The main points of the technical scheme are that the method comprises the steps: extracting the pedestrian flow real-time dynamic data by obtaining camera shooting angle pictureinformation and related parameter information of a target scene; obtaining pedestrian flow risk indexes through pedestrian flow real-time dynamic data calculation; establishing a pedestrian flow riskhierarchical model according to the pedestrian flow risk indexes; pedestrian flow motion risk deviation is calculated and obtained according to the pedestrian flow risk indexes; establishing a targetscene deep learning training model according to the pedestrian flow risk index, and predicting the pedestrian motion state of the target scene in combination with the pedestrian flow risk hierarchical model; calculating and obtaining an existing risk positioning result according to the pedestrian motion state. According to the public space pedestrian flow motion risk judgment method based on dynamic data analysis, pedestrian flow state and risk level evaluation can be carried out in real time, timeliness is high, and effectiveness is high.

Description

technical field [0001] The invention relates to a technology for judging the risk of pedestrian flow movement, in particular to a method for judging the risk of pedestrian flow movement in a public space based on dynamic data analysis. Background technique [0002] Public space can be seen everywhere in people's lives, and its importance is self-evident. With the improvement of people's living standards, there are more and more activities in public spaces. Whether it is daily commuting, entertainment, or large-scale gatherings, the support of public spaces is inseparable. Therefore, the safety of crowd activities in public spaces is particularly important. If a crowd stampede occurs, it will not only disturb the social order, but only by timely and effectively grasping the status of pedestrians in public spaces can we intervene and regulate in time at the beginning of abnormal occurrences, and stabilize The order of pedestrian flow. [0003] Due to the lack of relevant ana...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/25G06F30/27G06Q10/06
CPCG06Q10/0635G06Q10/06393G06F30/25G06F30/27
Inventor 陆林军张奕菁黄浩吴慧悦
Owner 上海交通大学设计研究总院有限公司
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