2016年
Driver Classification for Intelligent Transportation Systems using Fuzzy Logic
2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
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- 開始ページ
- 1212
- 終了ページ
- 1216
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- 出版者・発行元
- IEEE
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.
- リンク情報
- ID情報
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- Web of Science ID : WOS:000392215500190