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