DocumentCode :
2902428
Title :
Multi-scale driving behavior modeling using hierarchical PWARX model
Author :
Terada, Ryota ; Okuda, Hiroyuki ; Suzuki, Tatsuya ; Isaji, Kazuyoshi ; Tsuru, Naohiko
Author_Institution :
Dept. of Mech. Sci. & Eng., Nagoya Univ., Nagoya, Japan
fYear :
2010
fDate :
19-22 Sept. 2010
Firstpage :
1638
Lastpage :
1644
Abstract :
This paper presents a hierarchical modeling strategy of the driving behavior based on the multiple levels of abstraction of the underlying dynamics. In order to realize this idea, a new mathematical model, Hierarchical PieceWise ARX model (Hi-PWARX model) is proposed. The identification scheme for the Hi-PWARX model is developed by synthesizing the ideas of a feature vector definition revealing the dynamical characteristics and an unsupervised clustering technique. By applying the Hi-PWARX model to the observed driving data, a consistent hierarchical behavior model is obtained without any prior knowledge. The usefulness of the proposed modeling is demonstrated by the analysis of the driving behavior on the express way.
Keywords :
autoregressive processes; behavioural sciences; pattern clustering; expressway; feature vector definition; hierarchical piecewise autoregressive exogenius model; multiscale driving behavior modeling; unsupervised clustering technique; Covariance matrix; Data models; Decision making; Driver circuits; Humans; Indexes; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on
Conference_Location :
Funchal
ISSN :
2153-0009
Print_ISBN :
978-1-4244-7657-2
Type :
conf
DOI :
10.1109/ITSC.2010.5625154
Filename :
5625154
Link To Document :
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