Urban intersection traffic risk index evaluation method based on composite weight

Abstract

The invention discloses an urban intersection traffic risk index evaluation method based on composite weight. The method comprises the following steps: a data acquisition module acquires intersectiondata, traffic accident data and intersection video bayonet data; the data are transmitted to the detection module through the processor; urban intersection traffic safety index system data are storedin the database; a detection module acquires urban intersection traffic safety index system data from a database; the detection module is used for carrying out matrix enumeration operation on the intersection data, the traffic accident data, the intersection video bayonet data and the urban intersection traffic safety index system data; according to the invention, the collected related informationis analyzed and processed through the detection module, so that the discrimination matrix and the evaluation matrix are sorted out, the analysis module and the conversion module accurately analyze the index related weights represented by the discrimination matrix and the evaluation matrix, the accuracy of data analysis is improved, the analysis time is saved, and the working efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of urban crossing traffic, in particular to an evaluation method for urban crossing traffic risk index based on composite weights. Background technique [0002] Urban road intersection is an important part of the urban road traffic system, and it is the node and hub of the urban road network. It connects the roads and undertakes a large amount of traffic flow in the city. It has a very important function. But at the same time, the intersection has become the bottleneck of urban roads because of its "throat" feature. There are conflicts and interferences between vehicles on the intersection and pedestrians crossing the street, between vehicles and vehicles, especially between non-motor vehicles and motor vehicles. , has great uncertainty, which can easily lead to traffic accidents. According to general statistics, 60% of urban road traffic accidents occur at intersections and nearby areas. [0003] In the pr...

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Problems solved by technology

[0006] (1) How to analyze and process the collected relevant information through the detection module, so as to sort out the discrimination matrix and evaluation matrix, and the analysis module and conversion module conduct accurate analysis on the index-related weights represented by the discrimination matrix and evaluation matrix to solve the existing problems. The problem of inaccurate analysis of urban intersection safety in technology;

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