DocumentCode :
2069948
Title :
Study on cloud model of operating speed based on road alignment and sight distance
Author :
Shi, Shuming ; Cao, Kangzi ; Liu, Xiaodong ; Ge, Shuling
Author_Institution :
Traffic Coll., Jilin Univ., Changchun, China
fYear :
2011
fDate :
16-18 Dec. 2011
Firstpage :
648
Lastpage :
651
Abstract :
The model of operating speed is important for the safety design of road geometry alignment. The model of operating speed based on radius of horizontal curve, longitudinal grade, and sight distance is founded by cloud theory in this paper. The concept trees for input parameters are mined automatically extracted from actual experiment data. The rule base is auxiliary created by fuzzy neural logic system in Matlab ANFIS. Simulation result indicates that cloud model of operating speed is able to describe the uncertainty feature of the operating speed.
Keywords :
cloud computing; data mining; fuzzy logic; knowledge based systems; neural nets; road safety; traffic engineering computing; uncertainty handling; Matlab ANFIS; cloud model; concept tree mining; fuzzy neural logic system; horizontal curve radius; longitudinal grade; operating speed; road geometry alignment; road safety design; rule base; sight distance; uncertainty feature; Cognition; Educational institutions; Entropy; Geometry; Mathematical model; Roads; Simulation; Cloud model; Operating Speed; Road Alignment; Sight distance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
Type :
conf
DOI :
10.1109/TMEE.2011.6199286
Filename :
6199286
Link To Document :
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