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Based on Adaptive Neural Fuzzy Inference System foggy highway vehicle speed control studies

Author: YangJie
Tutor: HanXiuHua
School: Jilin University
Course: Transportation Planning and Management
Keywords: Highway Adaptive Neuro-Fuzzy Inference System Visibility Speed
CLC: U491
Type: Master's thesis
Year: 2007
Downloads: 421
Quote: 5
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Abstract


Highway in recent years, the author of this paper low visibility cause accidents frequently happened problems, are analyzed from the aspects of driver visual characteristics visibility, speed change and the relationship between the driving safety. And combined with the theory of low visibility conditions, speed control, and the recently developed adaptive neural fuzzy inference system principle, a method of speed control is studied for highway vehicle speed control research and engineering practice has a certain practical significance. On this basis, this article system elaborated the basic principle of adaptive neural fuzzy inference system, and will be used in low visibility conditions, the method of highway speed control. Established the low visibility conditions, highway speed control of adaptive neural fuzzy analysis model, and the model was trained and validation of model fitting and sex. Calculation and analysis show that the established fuzzy neural network model can describe the mapping of input and output patterns. The method for further research and application in the engineering practice in the future can play a reference role.

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CLC: > Transportation > Road transport > Technical management of traffic engineering and road transport > Traffic engineering and traffic management
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