Analysis method for identifying multiple traffic accident points based on alarm data point elements

Abstract

The invention discloses an analysis method for identifying multiple traffic accident points based on alarm data point elements, which comprises the following steps: searching alarm traffic accident data, generating WGS84 coordinates, importing the WGS84 coordinates into a GIS platform, modeling accident point elements, fusing the searched temperature data, identifying multiple regional accident points by adopting Getis-Ord Gi * hotspot analysis, and carrying out clustering analysis on the accidents to obtain an analysis result; carrying out local multi-occurrence point identification through abnormal value analysis and abnormal values around accident multi-occurrence points, and adopting a clustering analysis method of geographic information system (GIS) software, Thiessen polygons, kerneldensity analysis, hot spot analysis and abnormal value analysis. According to the invention, intuitive spatial information about accident distribution can be provided, spatial distribution characteristics of areas with high accident severity are researched, and accident-prone points are identified.

Description

technical field [0001] The invention relates to identification and cause analysis methods of traffic accident multiple points, in particular to an analysis method for identifying traffic accident multiple points based on alarm data point elements. Background technique [0002] At present, there are two main ways to study the spatial distribution characteristics of road traffic accidents: 1. Use traditional statistical methods to make statistics on the data to determine the accident-prone areas; 2. Use Geographic Information System (GIS) technology to map traffic accidents The situation is displayed visually on the map, and then its spatial distribution characteristics are analyzed using the method of spatial analysis. Compared with the first method, the advantages of using GIS for analysis are: (1) the visualization features of GIS can have a more intuitive understanding of the distribution of traffic accidents, so as to quickly form an overall grasp of the traffic safety si...

AI Technical Summary

Problems solved by technology

[0003] Accident research based on GIS spatial analysis, although useful explorations have been made in the analysis ideas and methods of accident data, the above-mentioned technologies have the following shortcomings: First, because accident records usually do not have precise latitude and longitude coordinates, they cannot be located in the GIS system, Therefore, the current research based on the accident data of the traffic control department mainly focuses on the exploration of the quantitative relationship between the characteristics of accidents and their influencing factors, and cannot provide intuitive spatial information about the distribution of accidents.

Finally, although both density analysis and cluster analysis have been practiced in the spatial analysis of traffic accidents, there are still some limitations in the method.

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