Title : 
A Pattern-Recognition Approach for Driving Skill Characterization
         
        
            Author : 
Zhang, Yilu ; Lin, William C. ; Chin, Yuen-Kwok Steve
         
        
            Author_Institution : 
Global R&D Center, Gen. Motors, Warren, MI, USA
         
        
        
        
        
        
        
            Abstract : 
Information about a driver´s driving skill can be used to adapt vehicle control parameters to facilitate the specific driver´s needs in terms of vehicle performance and safety. This paper presents an approach to driving skill characterization from a pattern-recognition perspective. The basic idea is to extract patterns that reflect the driver´s driving skill level from the measurements of the driver´s behavior and the vehicle response. The experimental results demonstrate the feasibility of using a pattern-recognition approach to characterize a driver´s handling skill. This paper concludes with the discussions of the challenges and future works to bring the proposed technique to practical use.
         
        
            Keywords : 
pattern recognition; traffic control; velocity control; driver behavior measurement; driver handling skill; driver information; pattern recognition; vehicle control; Automatic control; Control systems; Motion control; Navigation; Pattern recognition; Research and development; Traction motors; Vehicle driving; Vehicle dynamics; Vehicle safety; Driver model; driving skill characterization; pattern recognition;
         
        
        
            Journal_Title : 
Intelligent Transportation Systems, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TITS.2010.2055239