Author:
Xiao Jinjian,Weng Yubo,Xie Yingna
Abstract
Abstract
The driving safety cognition formation was effected distinctly by the highway ramp radius. The ramp radius and automobile velocity were adopted to build driving safety cognition formatting model in the highway ramp environment. The fuzzy logic reasoning rules were applied to construct the computing layers of driving safety cognizing formatting neural network. The driving safety cognition experimental samples in the different ramp radius were gained under different experimental automobile velocity. Weights of fuzzy-neural network layers were trained and were to analog compute effects on the driving safety cognitions under different ramp radius with different experimental velocity. The resulting analyzing to prove that the relations between the typical ramp radius and driving safety cognition were calculated accurately. The trained neural network structure of driving safety cognition based on the utilizing fuzzy inferences is helpful to improve driving safety cognitions of the highway ramp under different automobile velocity.
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