Thiessen polygon-based accident multi-point identification method and application thereof

A technology of accident-prone points and Thiessen polygons, which is applied in data processing applications, special data processing applications, instruments, etc., can solve the problems of extreme influence and strong subjectivity of accident-prone points, and achieves strong adaptability and versatility. And the effect of strong objectivity and overcoming strong subjectivity

Active Publication Date: 2021-09-07
SHANGHAI UNIV OF ENG SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for identifying frequent accident points based on Thiessen polygons, which overcomes the problems in the prior art of strong subjectivity in identifying frequent accident points, great influence by extreme values, and defects in the practical application of evaluation results.

Method used

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  • Thiessen polygon-based accident multi-point identification method and application thereof
  • Thiessen polygon-based accident multi-point identification method and application thereof
  • Thiessen polygon-based accident multi-point identification method and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] A method for identifying multiple points of road accidents based on Thiessen polygons, such as figure 1 shown, including the following steps:

[0063] Step 1. Preprocess the original accident data. Firstly, calculate the mean value of the distance between the first and third neighbor points, then deduplicate the accident points, and count the number of accidents at each spatial point to form a weighted point, and then Establish a Thiessen polygon for the weighted point, establish a spatial connection between the weighted point and the Thiessen polygon, assign the weight of the weighted point (accident number or other accident attributes) to the polygon, calculate the area of ​​each Thiessen polygon, and calculate the evaluation index W , that is, the area where an accident will occur;

[0064] Step 2. According to the average distance of the first neighbor point To preliminarily evaluate whether the polygon is accident-prone, the average distance of the first neighbo...

Embodiment 2

[0086] An electronic device comprising one or more processors, one or more memories, one or more programs, and an output device for capturing accident data;

[0087] One or more programs are stored in the memory, and when the one or more programs are executed by the processor, the electronic device executes the method for identifying multiple accident points based on Thiessen polygons as described in Embodiment 1.

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Abstract

The invention discloses a Thiessen polygon-based accident multi-point identification method and application thereof, and the method comprises the steps: carrying out the preprocessing of accident data, and constructing a Thiessen polygon; identifying accident-prone points according to the area required by the unit accident; supplementing the accident-prone points according to the number of the space point accidents; correcting the shape of the Thiessen polygon through a buffer area; and merging the supplemented and corrected accident multi-occurrence points to obtain a final accident multi-occurrence point. The method overcomes the defects of strong subjectivity and poor universality of accident space statistical unit division in the prior art, overcomes the defects of great influence of extreme values on a clustering analysis method in a non-aggregated model and poor practical application of space points as identification results, and has great application prospects.

Description

technical field [0001] The invention belongs to the technical field of road safety evaluation, and relates to a method for identifying frequent accident points based on Thiessen polygons and its application. Background technique [0002] The identification of accident-prone points is an important prerequisite for road safety evaluation and targeted improvement of traffic safety measures. The commonly used identification methods for accident-prone points include the accident number method, kernel density analysis, cluster analysis and spatial automaticity based on road network units. related analysis method. [0003] The number of accidents method aims to determine a critical value as an index for judging frequent occurrence of accidents, that is, the number of accidents that occur in a statistical unit of the same size per unit time as an evaluation index; the kernel density analysis results are relatively rough and are greatly affected by the maximum value, and determine T...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F16/2458G06F16/29
CPCG06Q10/06393G06F16/2462G06F16/29
Inventor 郝妍熙刘戎阳胡华刘志钢
Owner SHANGHAI UNIV OF ENG SCI
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