Abstract
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Article Information:
Recognition and Analysis on Overtaking Behavior
Dan Yu, Jingjing Ma, Yihu Wu and Minglei Song
Corresponding Author: Dan Yu
Submitted: December 20, 2011
Accepted: April 23, 2012
Published: October 15, 2012 |
Abstract:
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This study has a research of HMM and recognizes current driving intention, Moreover, using time
to judge whether the behavior is overtaking behavior or not. Next, MSS was used to judge whether the
overtaking conditions met or not. In addition, if they do not meet there will be a warning for driver. Use Gauss
density functions to improve P-2D-HMM and discriminate driving intention, then identify the overtaking
behavior. Based on vehicle kinematics theory, judge whether the overtaking behavior is normal by SMM. Warn
the drivers whose overtaking behavior is abnormal to expect to reduce the traffic accident caused by overtaking.
The result of experiment confirms that the model can accurately recognize overtaking behavior and the
abnormal overtaking can be effective identified.
Key words: Gauss density function, overtaking, P-2D-HMM, SMM, , ,
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Cite this Reference:
Dan Yu, Jingjing Ma, Yihu Wu and Minglei Song, . Recognition and Analysis on Overtaking Behavior. Research Journal of Applied Sciences, Engineering and Technology, (20): 4022-4027.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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