Amelio-rater: Detection and Classification of Driving Abnormal Behaviours for Automated Ratings and Real-Time Monitoring

Noha El Masry, Passant El-Dorry, Mariam El Ashram, Ayman Atia, Jiro Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Real-time monitoring of the drivers may be a factor that would force them to drive safely. In this paper, we introduce a system named 'Amelio-Rater", that focuses on detection and classification of abnormal driving behaviours for automatically generating driver ratings and real-time monitoring. To reduce malicious ratings, the Amelio-rater introduces an automatic rating system which is calculated purely based on the driver's driving behaviours only. Each driver will be given his own Amelio-rater rate and a manual user rate. There are multiple types of driving abnormal behaviours monitored by the proposed system such as meandering, single weaves, sudden changing of lanes and speeding. The classification results achieved showed that the Amelio-rater reached an accuracy of 95%. Our experiments showed that the manual user rates given for the driving behaviour are not far from the rates given by Amelio-rater. Amelio-rater rates were very close to the actual rates given by the users.

Original languageEnglish
Title of host publicationProceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018
EditorsAhmed M. Zaki, Mohamad Taher, M. Watheq El-Kharashi, Ashraf Salem, Ayman M. Bahaa El-Din, Hazem M. Abbas
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages609-616
Number of pages8
ISBN (Electronic)9781538651117
DOIs
Publication statusPublished - 2019 Feb 11
Event13th International Conference on Computer Engineering and Systems, ICCES 2018 - Cairo, Egypt
Duration: 2018 Dec 182018 Dec 19

Publication series

NameProceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018

Conference

Conference13th International Conference on Computer Engineering and Systems, ICCES 2018
CountryEgypt
CityCairo
Period18/12/1818/12/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Optimization
  • Modelling and Simulation
  • Signal Processing
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

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  • Cite this

    El Masry, N., El-Dorry, P., El Ashram, M., Atia, A., & Tanaka, J. (2019). Amelio-rater: Detection and Classification of Driving Abnormal Behaviours for Automated Ratings and Real-Time Monitoring. In A. M. Zaki, M. Taher, M. W. El-Kharashi, A. Salem, A. M. Bahaa El-Din, & H. M. Abbas (Eds.), Proceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018 (pp. 609-616). [8639398] (Proceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCES.2018.8639398