DocumentCode :
3426859
Title :
Driver´s style classification using jerk analysis
Author :
Murphey, Yi Lu ; Milton, Robert ; Kiliaris, Leonidas
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Michigan-Dearborn, Dearborn, MI
fYear :
2009
fDate :
March 30 2009-April 2 2009
Firstpage :
23
Lastpage :
28
Abstract :
This paper presents an innovative approach to classifying the driver´s driving style by analyzing the jerk profile of the driver. Driving style is a dynamic behavior of a driver on the road. At times a driver can be calm but aggressive at others. The information about driver´s dynamic driving style can be used to better control fuel economy. We propose to classify driver´s style based on the measure of how fast a driver is accelerating and decelerating. We developed an algorithm that classifies driver´s style utilizing the statistical information from the jerk profile and the road way type and traffic congestion level prediction. Our experiment results show that our approach generates more reasonable results than those generated by using other published methods.
Keywords :
behavioural sciences; fuel economy; road traffic; driver style classification; fuel economy; jerk analysis; road way type; statistical information; traffic congestion level prediction; Acceleration; Communication system traffic control; Databases; Energy management; Environmental management; Fuel economy; Knowledge management; Power distribution; Roads; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Vehicles and Vehicular Systems, 2009. CIVVS '09. IEEE Workshop on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2770-3
Type :
conf
DOI :
10.1109/CIVVS.2009.4938719
Filename :
4938719
Link To Document :
بازگشت