A Pattern-Recognition Approach for Driving Skill Characterization
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.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Authors:
- Zhang, Yilu
- Lin, William C
- Chin, Yuen-Kwok S
- Publication Date: 2010
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 905-916
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Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 11
- Issue Number: 4
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Behavior; Classification; Driver education; Mathematical models; Pattern recognition systems; Simulation; Traffic control
- Subject Areas: Education and Training; Highways; Operations and Traffic Management; I70: Traffic and Transport;
Filing Info
- Accession Number: 01333657
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: TLIB
- Created Date: Mar 21 2011 2:15PM