Title :
Generation of Pedal Operation Patterns of Individual Drivers in Car-Following for Personalized Cruise Control
Author :
Nishiwaki, Yoshihiro ; Miyajima, Chiyomi ; Kitaoka, Norihide ; Itou, Katsunobu ; Takeda, Kazuya
Author_Institution :
Nagoya Univ., Nagoya
Abstract :
This paper presents a method to generate car-following patterns for individual drivers. We assume that driving is a recursive process. A driver recognizes a road environment such as velocity and following distance and adjusts gas and brake pedal positions. A vehicle status changes according to the driver´s operation and the road environment changes according to the vehicle status. Driving patterns of each driver are modeled with a Gaussian mixture model (GMM), which is trained as a joint probability distribution of following distance, velocity, pedal position signals and their dynamics. Gas and brake pedal operation patterns are generated from the GMMs in a maximum likelihood criterion so that the conditional probability is maximized for a given environment i.e., following distance and velocity. Experimental results for a driving simulator show that car-following patterns generated from GMMs for three different drivers maintain their individual driving characteristics.
Keywords :
Gaussian distribution; automated highways; automobiles; driver information systems; maximum likelihood estimation; Gaussian mixture model; car following; individual drivers; joint probability distribution; maximum likelihood criterion; pedal operation patterns; personalized cruise control; road environment; vehicle status; Acceleration; Intelligent transportation systems; Intelligent vehicles; Maximum likelihood estimation; Probability distribution; Road safety; Road vehicles; Signal generators; Vehicle driving; Vehicle dynamics;
Conference_Titel :
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location :
Istanbul
Print_ISBN :
1-4244-1067-3
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2007.4290218