Driver safety monitoring and learning system

Abstract

The invention discloses a driver safety monitoring and learning system. The driver safety monitoring and learning system comprises: a data collection unit, used for collecting behavior data of a driver; a data preprocessing unit, used for extracting evaluation data for evaluating the driver from the collected behavior data; a data statistic analysis unit, used for performing statistical analysis on the evaluation data to obtain a scoring condition of each driver; and a data receiving unit, used for receiving a scoring result and obtaining driving suggestions according to the scoring result, and sending the driving suggestions and uncompleted training learning courses to the driver. The beneficial effects of the driver safety monitoring and learning system are achieved: multiple objective evaluation standards are comprehensively considered, so that the assessment result of the driver is more objective and reliable, the adverse habits of the driver can be reminded, the driving risk is avoided, and the road traffic safety is improved.

Description

technical field [0001] The invention relates to a driver safety monitoring and learning system. Background technique [0002] The inducing factors of road traffic accidents include direct factors such as people, vehicles, roads, and the environment, and indirect factors such as other people and information related to the direct factors. Among them, the human factor occupies a dominant position, and the driver's driving habits will directly affect the safety of the vehicle. The driver's bad driving behavior in the process of driving may lead to more serious traffic accidents, resulting in huge losses of personnel and property, and negative social impact. At present, when assessing and evaluating drivers, most of them use the driver's violation record as the main basis, lack of assessment of multiple objective standards, and the results are not reasonable and objective; at the same time, the lack of quantitative criteria for assessment makes the assessment The results are no...

AI Technical Summary

Problems solved by technology

The bad driving behavior of the driver in the driving process may lead to more serious traffic accidents, resulting in huge losses of personnel and property, and negative social impact

At present, when assessing and evaluating drivers, most of them use the driver's violation record as the main basis, lack of assessment of multiple objective standards, and the results are not reasonable and objective; at the same time, the lack of quantitative criteria for assessment makes the assessment The results are not credible and reliable; moreover, there is a certain deviation due to the lack of external objective standards, which are not conducive to drivers correcting their bad driving habits and improving road traffic safety.

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