Big Data Analysis System for Smart Motor Vehicle Driver Training
DOI: 10.23977/acss.2022.060103 | Downloads: 34 | Views: 865
Author(s)
Yongming Zhang 1
Affiliation(s)
1 Hefei Yueming Traffic Electronic Technology Co. Ltd, Hefei, Anhui 230026, China
Corresponding Author
Yongming ZhangABSTRACT
With the continuous improvement of people's living standards, cars have entered the homes of ordinary people, and every year, Every year tens of thousands of students get their licenses. However, due to various reasons, there are still a series of problems in the subject examination. In order to improve the quality of motor vehicle drivers, scientific training and management are necessary. The development of big data provides more application platforms for intelligent learning. Studying training data in depth by using data mining and other technologies can provide more effective training programs for motor vehicle drivers and coaches. This paper introduces a big data analysis and analysis system for intelligent motor vehicle driver training, and puts forward an intelligent learning system architecture based on big data based on in-depth analysis of intelligent learning system model, Utilization through analysis of driving skills training data, hoping to improve the comprehensive quality of vehicle drivers and reduce heavy losses and casualties caused by frequent safety accidents through comprehensive driver training system.
KEYWORDS
Smart motor vehicle driver training, Big data analysis, IndividuationCITE THIS PAPER
Yongming Zhang, Big Data Analysis System for Smart Motor Vehicle Driver Training. Advances in Computer, Signals and Systems (2022) Vol. 6: 22-28. DOI: http://dx.doi.org/10.23977/acss.2022.060103.
REFERENCES
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