Driver Classification for Intelligent Transportation Systems using Fuzzy Logic

被引：0
|
作者：
Fernandez, Susel [1 ]
Ito, Takayuki [1 ]
机构：
[1] Nagoya Inst Technol, Showa Ku, Gokiso Cho, Nagoya, Aichi, Japan
来源：
2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2016年
关键词：
inteligent transportation systems; driver behavior; fuzzy rule-based systems; DRIVING BEHAVIOR;
D O I：
暂无
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
Intelligent transportation systems are a set of technological solutions used to improve the performance and safety of road transportation. A crucial element that affects road safety is driver behavior, because driver errors are usually the principal cause of traffic accidents. Therefore, understanding and modeling human driver behavior is extremely important for the safety of the road transportation. In this paper, a Fuzzy rule-based system to classify the drivers in different profiles according to their behavior is proposed. The system will be integrated in intelligent transportation architecture, which can be used to predict and avoid traffic accidents and to optimize the routing management.
引用
收藏
页码：1212 / 1216
页数：5
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