Proceedings of the Fuzzy System Symposium
37th Fuzzy System Symposium
Session ID : TB1-4
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Estimation of Driving Danger-level using SWLDA in Vehicle Turning-Right
*Ryosuke MATSUKITomohiro YOSHIKAWAMasayoshi KANOHMitsuhiro HAYASEFelix JIMENEZTakahiro TANAKAHitoshi KANAMORI
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Abstract

In this paper, danger level of right-turn driving at traffic light intersections is estimated by using SWLDA, Step Wise Linear Discriminant Analysis. SWLDA is one of the linear discriminant analyses that derives a regression equation, and selects the combination of explanatory variables with the highest accuracy from a number of them given. The variables selected by SWLDA are considered as the dangerous factors, we can therefore analyze the factors. We consider that quantifying the danger level when the vehicles turning right at a traffic light intersection reduces the accident rate, because drivers can be aware of the danger of his/her own driving.

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© 2021 Japan Society for Fuzzy Theory and Intelligent Informatics
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