Chapter
Jun 29, 2016
Identification of Human Failures in the Lane Changing Process on Expressways Based on Cepstral Analysis
Authors: Haoran Li [email protected], Chaozhong Wu [email protected], Duanfeng Chu [email protected], Hui Zhang [email protected], and Chuan Sun [email protected]Author Affiliations
Publication: CICTP 2016
Abstract
Accidents can be seen as the result of an unsuccessful interplay between drivers, vehicles, traffic environments, and organizations. Human actions are an important source of vulnerability for road transportation. Current research about lane changing focuses on driving intentions. Few studies are focused on human failures during lane changing processes. In this paper, based on cepstral analysis, the characteristics of steering operation are studied to research driving failure characteristics during the lane changing processes. Then, a BP neural network model of lane changing is established to identify driving failures in lane changing processes. The identification rate of this model is 70%, which can be used to improve driving safety.
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Published In
CICTP 2016
Pages: 1673 - 1684
Copyright
© 2016 American Society of Civil Engineers.
History
Published online: Jun 29, 2016
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Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, 1040 Heping Ave., Wuhan 430063, China. E-mail: [email protected]
Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, 1040 Heping Ave., Wuhan 430063, China. E-mail: [email protected]
Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, 1040 Heping Ave., Wuhan 430063, China. E-mail: [email protected]
Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, 1040 Heping Ave., Wuhan 430063, China. E-mail: [email protected]
Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, 1040 Heping Ave., Wuhan 430063, China. E-mail: [email protected]n
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