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Trajectory data-based pedestrian relationship judging method and system

A technology of trajectory data and pedestrians, applied in the field of behavior understanding of moving objects, can solve problems such as not considering the impact of pedestrians' social relations, achieve the effect of optimizing the actual evacuation process and improving evacuation efficiency

Inactive Publication Date: 2018-06-08
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But it oversimplifies the behavior of pedestrians, without considering the social relationship between pedestrians and the impact of the small groups formed on the movement, let alone how to judge the interpersonal relationship between pedestrians

Method used

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  • Trajectory data-based pedestrian relationship judging method and system
  • Trajectory data-based pedestrian relationship judging method and system
  • Trajectory data-based pedestrian relationship judging method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] This embodiment discloses a method for judging pedestrian relationships based on trajectory data, such as figure 1 As shown, including the following steps:

[0066] Step 1: Establish an evacuation simulation scene;

[0067] Specifically, a rectangular plane area with a length of 30m and a width of 20m is constructed as an evacuation simulation scene, and the area includes 3 exits (for a more realistic effect, a three-dimensional model is established).

[0068] Step 2: Read the pedestrian trajectory data and preprocess it;

[0069] Step 2.1: Analyze and read in the trajectory data file (as attached figure 2 As shown, partial trajectory data of two pedestrians are shown), the file number is 1~N;

[0070] Step 2.2: Define the trajectory data set as DP={dp i ,i=1,2,...,N}, dp i =(dp i1 ,dp i2 ,...,Dp in ) Represents the data of the i-th individual in the data set, dp ij Represents the j-th data of the i-th individual, including serial number, coordinates, flags, etc.

[0071] Crowd...

Embodiment 2

[0116] The purpose of this embodiment is to provide a computing system.

[0117] A system for judging pedestrian relationships based on trajectory data includes a memory, a processor, and a computer program stored in the memory and running on the processor. The processor implements the following steps when the program is executed, including:

[0118] Step 1: Establish an evacuation simulation scene;

[0119] Step 2: Read the pedestrian trajectory data and preprocess it;

[0120] Step 3: Based on the trajectory data, a candidate group is determined according to the distance and direction characteristics between pedestrians;

[0121] Step 4: Determine the relative position of the pedestrian in the candidate group in the scene;

[0122] Step 5: Perform clustering analysis based on the relative position of the individual pedestrians in the scene, and divide groups according to the distance of close relationship.

Embodiment 3

[0124] The purpose of this embodiment is to provide a computer-readable storage medium.

[0125] A computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the following steps are performed:

[0126] Step 1: Establish an evacuation simulation scene;

[0127] Step 2: Read the pedestrian trajectory data and preprocess it;

[0128] Step 3: Based on the trajectory data, a candidate group is determined according to the distance and direction characteristics between pedestrians;

[0129] Step 4: Determine the relative position of the pedestrian in the candidate group in the scene;

[0130] Step 5: Perform clustering analysis based on the relative position of the individual pedestrians in the scene, and divide groups according to the distance of close relationship.

[0131] The steps involved in the devices of the above second and third embodiments correspond to the first method of the method. For the specific implementation, please...

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Abstract

The invention discloses a trajectory data-based pedestrian relationship judging method and system. The method comprises the following steps of: establishing an evacuation simulation scene; reading trajectory data of pedestrians and preprocessing the trajectory data; determining a candidate group according to distances and direction features of the pedestrians on the basis of the trajectory data; determining relative positions, in the scene, of pedestrian individuals in the candidate group; and carrying out clustering analysis on the basis of the relative positions, in the scene, of the pedestrian individuals, and dividing teams according to relationship close / distant distances. According to the method and system, small teams with close relationships in crowds can be judged, important basisis provided for security drills of crowd evacuation, the building evacuation performance can be detected, the practical evacuation process can be optimized and the evacuation efficiency can be improved.

Description

Technical field [0001] The invention belongs to the field of behavior understanding of moving targets, and in particular relates to a method and system for judging pedestrian relationships based on trajectory data. Background technique [0002] Although the current transportation is convenient, there are many modes of transportation to choose from, and people's travel modes are also diversified, but the way of walking is still indispensable, and in many cases it is irreplaceable. For example, in most cases, the start and end of a trip are completed on foot. For example, in many public places such as subway stations, stadiums, cars or train stations, shopping malls, school campuses, etc., not only walking, but also pedestrian congestion is frequent. hair. Moreover, the public environment for walking is mostly crowded, especially in peak periods or holidays, where there is often a high flow of people and high crowd density, which has great potential safety hazards. Therefore, con...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06T7/246
CPCG06T7/246G06T2207/10016G06T2207/30241G06T2207/30196G06V20/42G06V20/53G06F18/23G06F18/22
Inventor 李焱杜萍郑向伟刘弘张建新
Owner SHANDONG NORMAL UNIV
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