DocumentCode :
527427
Title :
Forecasting research on the driving safety perception of horizontal curves
Author :
Xiao, Jinjian ; Liu, Jingyu
Author_Institution :
Sch. of Automobile, Chang´´an Univ., Xi´´an, China
Volume :
4
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
1682
Lastpage :
1685
Abstract :
Aiming at the problem that horizontal curve radiuses have some different influences on the formation of driving safety perception. Formatting model of driving safety perception to curve is built based on combined actions of components of bend and running speed of vehicles. Fuzzy-neural networks model of driving safety perceptive formation and fuzzy inference rules are built up. The results of inference operation and road test prove that the relation between input and output is reflected accurately. By utilizing inference ability of the trained model, the simulation results show that the influence of different horizontal curve radius on driving safety perception under different running speed.
Keywords :
driver information systems; forecasting theory; fuzzy neural nets; inference mechanisms; road safety; road vehicles; driving safety perceptive formation; fuzzy inference rules; fuzzy-neural networks model; horizontal curve radiuses; Artificial neural networks; Driver circuits; Fuzzy neural networks; Mathematical model; Roads; Safety; Vehicles; driving safety perception; fuzzy-neural network; horizontal curve radius; speed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5582688
Filename :
5582688
Link To Document :
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