The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2010
Session ID : 1A1-G27
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1A1-G27 Driving Decision Model Based on Logistic Regression Model and its Application for Driving Assist System
Akitaka HIROSESoichiro HAYAKAWARyojun IKEURAHideki SAWAI
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
This paper presents identification and application for driving assist system of a decision making model in the driving behavior based on the Logistic Regression model. At first, the decision making for the lane change action on the expressway is identified based on the Logistic Regression model. Then, it is shown that the identification model is useful for the prediction of the decision making for the lane change action of driver. Finally, we built a decision making model of driver and implemented it in the driving assist system. As a result, we verified the effectiveness of the proposed technique.
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© 2010 The Japan Society of Mechanical Engineers
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