Urban road risk grading system and method based on fuzzy comprehensive evaluation

Abstract

The invention discloses an urban road risk grading system and method based on fuzzy comprehensive evaluation, wherein the system comprises a plurality of video collection modules, each video collection module is in one-way connection with a video transmission device, each video transmission device is in one-way connection with a video processing module, and the video processing module is in one-way connection with a risk grading module; and the risk grading module is in bidirectional connection with a data storage module and is in one-way connection with an information matching module, the information matching module is in one-way connection with a driving reminding module, and a data downloading module is in one-way connection with the data storage module. The system is simple in structure, multiple factors influencing traffic risks are obtained through the video acquisition module and the data downloading module, the multiple factors are comprehensively evaluated through the risk grading module by using a fuzzy comprehensive evaluation method, road risk grade information is obtained, and the problems that risk grading consideration factors are single, the risk degree is difficultto quantize, the information utilization effect is poor and post-processing is insufficient are solved; and the method is simple and high in accuracy.

Description

Technical field [0001] The present invention relates to the field of intelligent traffic safety, and in particular to urban road risk classification systems and methods based on fuzzy comprehensive evaluation. Background technique [0002] With the improvement of urban transportation facilities and the increase in automobile insurance, urban traffic has a series of traffic problems such as congestion, frequent accidents, and seriously affect the safety and travel experience of drivers, therefore there is necessary for urban traffic important road network Carry out risk levels, remind drivers to pay attention to driving safety. [0003] Although there is a certain application effect, there is also the following shortcomings and deficiencies: the data foundation of road risk grading is more single, usually only a road risk influencing factor in a certain aspect, and a variety of factors cannot be considered. The same effect, the complexity, fuzzy, difficult to quantitative problems...

AI Technical Summary

Problems solved by technology

[0004] In view of the problems existing in the prior art, the object of the present invention is to provide a system and method for grading urban road risks based on fuzzy comprehensive evaluation. For various factors of traffic risk, the fuzzy comprehensive evaluation method is used in the risk classification module to comprehensively evaluate various factors affecting traffic risk. Quantification, poor information utilization, and insufficient post-processing; the method is simple and accurate, and can effectively warn drivers through LED display screens, voice reminder devices and variable information boards to improve traffic safety

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