Intelligent driving diagnosis based on a fuzzy logic approach in a real environment implementation

Andres C Cuervo Pinilla, M. Christian G Quintero, Chinthaka Premachandra

研究成果: Conference contribution

3 引用 (Scopus)

抄録

This paper considers the problem of diagnosing people's driving skills under real driving conditions using GPS data and video records. For this real environment implementation, a brand new intelligent driving diagnosis system based on fuzzy logic was developed. This system seeks to propose an abstraction of expert driving criteria for driving assessment. The analysis takes into account GPS signals such as: position, velocity, accelerations and vehicle yaw angle; because of its relation with drivers' maneuvers. In that sense, this work presents in the first place, the proposed scheme for the intelligent driving diagnosis agent in terms of its own characteristics properties, which explain important considerations about how an intelligent agent must be conceived. Secondly, it attempts to explain the scheme for the implementation of the intelligent driving diagnosis agent based on its fuzzy logic algorithm, which takes into account the analysis of real-time telemetry signals and proposed set of driving diagnosis rules for the intelligent driving diagnosis, based on a quantitative abstraction of some traffic laws and some secure driving techniques. Experimental testing has been performed in driving conditions. All tested drivers performed the driving task on real streets. The testing results show that our intelligent driving diagnosis system allows quantitative qualifications of driving performance with a high degree of reliability.

元の言語English
ホスト出版物のタイトルIEEE Intelligent Vehicles Symposium, Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ページ102-107
ページ数6
ISBN(印刷物)9781479936380
DOI
出版物ステータスPublished - 2014
外部発表Yes
イベント25th IEEE Intelligent Vehicles Symposium, IV 2014 - Dearborn, MI, United States
継続期間: 2014 6 82014 6 11

Other

Other25th IEEE Intelligent Vehicles Symposium, IV 2014
United States
Dearborn, MI
期間14/6/814/6/11

Fingerprint

Fuzzy logic
Global positioning system
Intelligent agents
Testing
Telemetering

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modelling and Simulation

これを引用

Pinilla, A. C. C., Quintero, M. C. G., & Premachandra, C. (2014). Intelligent driving diagnosis based on a fuzzy logic approach in a real environment implementation. : IEEE Intelligent Vehicles Symposium, Proceedings (pp. 102-107). [6856583] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IVS.2014.6856583

Intelligent driving diagnosis based on a fuzzy logic approach in a real environment implementation. / Pinilla, Andres C Cuervo; Quintero, M. Christian G; Premachandra, Chinthaka.

IEEE Intelligent Vehicles Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 102-107 6856583.

研究成果: Conference contribution

Pinilla, ACC, Quintero, MCG & Premachandra, C 2014, Intelligent driving diagnosis based on a fuzzy logic approach in a real environment implementation. : IEEE Intelligent Vehicles Symposium, Proceedings., 6856583, Institute of Electrical and Electronics Engineers Inc., pp. 102-107, 25th IEEE Intelligent Vehicles Symposium, IV 2014, Dearborn, MI, United States, 14/6/8. https://doi.org/10.1109/IVS.2014.6856583
Pinilla ACC, Quintero MCG, Premachandra C. Intelligent driving diagnosis based on a fuzzy logic approach in a real environment implementation. : IEEE Intelligent Vehicles Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 102-107. 6856583 https://doi.org/10.1109/IVS.2014.6856583
Pinilla, Andres C Cuervo ; Quintero, M. Christian G ; Premachandra, Chinthaka. / Intelligent driving diagnosis based on a fuzzy logic approach in a real environment implementation. IEEE Intelligent Vehicles Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 102-107
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