Driver safety portraying system

Abstract

The invention provides a driver safety portraying system. According to the system, drivers are taken as target objects; drivers who need more attentions are identified and the risk of the drivers is predicted through an AI (Artificial Intelligence) decision-making means; the risk evaluation and the travel safety characteristics of individual drivers are described through built-in AI model processor and visual engine; and the division and the feature extraction of groups are carried out according to the individual risk degree. The system specifically comprises a data pool unit, the AI model processor, an individual predicting unit, an individual analyzing unit, a group dividing unit, a group feature analyzing unit and the visual engine. The system has the advantages that the defect that thetraditional driver analysis is limited to simple data statistics of group features is overcome; and the needs of locking target groups and identifying dangerous individuals and the like in daily traffic safety management and active prevention and control work are met.

Description

technical field [0001] The invention relates to a driver safety portrait system. Background technique [0002] With the acceleration of urbanization and motorization, the problem of urban road traffic safety is becoming more and more serious, which has become a new source of growth of road traffic accidents. Statistics show that in the past ten years, urban road traffic accidents have resulted in an average of 20,000 deaths and 140,000 injuries each year. The four elements of people, vehicles, roads, and environment are closely related to the occurrence of road traffic accidents, and the inconsistency of any one of these factors may cause traffic accidents. In view of the complexity of traffic safety problems, the traditional "small data" and "one-sided" analysis methods are not enough to truly reveal the controllability or seriousness of traffic safety problems; the application means of maintaining traffic safety and order are limited to manpower There is a lack of active...

AI Technical Summary

Problems solved by technology

[0004] However, most of the existing traffic management or data analysis systems are limited to simple statistics of accident data or illegal data, or feature analysis for groups, lacking fine analysis and feature analysis of individual driver behavior, making it difficult to realize active intervention in traffic accidents

Images