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Evaluation of Factors Affecting Driver’s Behaviors Using Association Rule
Evaluation of Factors Affecting Driver’s Behaviors Using Association Rule
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摘要：
In this paper,association rule mining algorithm is utilized to analyze the correlations of various factors of causing traffic accidents,from which the relationship model of dangerous driving behaviors is established.In this model,the factors and their correlations include:ability of risk control,ability of driving self-confidence,individual characteristics,and incorrect driving operations.By selecting the drivers in the city of Chengdu to be the objects of investigation,a group of valid sample data is obtained.Based on these data,the Support and Confidence for association rules are analyzed.In the analysis,the two stage computing of Apriori algorithm programming is simulated,and from which some important rules are obtained.With these rules,departments of traffic administration can focus on these key factors in their processing of traffic transactions.By the training of drivers’skills and their physical and mental behaviors,the incorrect driving operations can be greatly reduced and the traffic safety can be effectively guaranteed.
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节点文献
Driving
Technique
Traffic
Safety
Big
Data
Association
Rules
Apriori
Algorithm
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现代交通：中英文版
主办单位：
Ivy
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出版周期：
季刊
ISSN：
2327-0713
CN：
开本：
出版地：
湖北省武汉市武昌区珞狮南路519号（中国
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出版文献量（篇）
22
总下载数（次）
1
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0
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