NDLI: Modeling of driver's collision avoidance behavior based on piecewise linear model

Content Provider	IEEE Xplore Digital Library
Author	Jong-Hae Kim Hayakawa, S. Suzuki, T. Hayashi, K. Okuma, S. Tsuchida, N. Shimizu, M. Kido, S.
Copyright Year	2004
Description	Author affiliation: Dept. of Electron. & Inf. Eng., Nagoya Univ., Japan (Jong-Hae Kim)
Abstract	This paper presents the development of the modeling strategy of the human driving behavior based on the expression as piecewise linear (PWL) model focusing on the driver's collision avoidance behavior. The driving data are collected by using the three-dimensional driving simulator based on CAVE, which provides stereoscopic immersive vision. In our modeling, the relationship between the driver's sensory information and the operation of the driver such as braking and/or steering amount is expressed by PWL model, which is a class of hybrid dynamical system (HDS). The identification problem for the PWL model is formulated as the mixed integer linear programming (MILP) by transforming the switching conditions into binary variables. From the obtained results, it is found that the driver appropriately switches the 'control low' according to the sensory information. These results enable us to capture not only the physical meaning of the driving skill, but also the decision-making aspect (switching conditions) in the driver's collision avoidance behavior.
Starting Page	2310
Ending Page	2315
File Size	481315
Page Count	6
File Format	PDF
ISBN	0780386825
ISSN	01912216
DOI	10.1109/CDC.2004.1428736
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-14
Publisher Place	Bahamas
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collision avoidance Piecewise linear techniques Decision making Humans Mixed integer linear programming Switches Automatic control Neural networks Fuzzy systems Difference equations
Content Type	Text
Resource Type	Article

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