TY - GEN
T1 - Amelio-rater
T2 - 13th International Conference on Computer Engineering and Systems, ICCES 2018
AU - El Masry, Noha
AU - El-Dorry, Passant
AU - El Ashram, Mariam
AU - Atia, Ayman
AU - Tanaka, Jiro
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/11
Y1 - 2019/2/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85063142128&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063142128&partnerID=8YFLogxK
U2 - 10.1109/ICCES.2018.8639398
DO - 10.1109/ICCES.2018.8639398
M3 - Conference contribution
AN - SCOPUS:85063142128
T3 - Proceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018
SP - 609
EP - 616
BT - Proceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018
A2 - Zaki, Ahmed M.
A2 - Taher, Mohamad
A2 - El-Kharashi, M. Watheq
A2 - Salem, Ashraf
A2 - Bahaa El-Din, Ayman M.
A2 - Abbas, Hazem M.
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 December 2018 through 19 December 2018
ER -