DocumentCode :
2809072
Title :
Traffic State Identification Methods Based on Vague Sets
Author :
Ji, Xiaofeng ; Cheng, Wei ; Chen, Yuguang
Author_Institution :
Fac. of Transp. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
In order to identify traffic state of road section and provide decision support for traffic management, a method was proposed for road section traffic state identification based on vague sets. The traffic state decision matrix was constructed, and then the identification steps for road section traffic state were given in detail. Then the knowledge acquisition method of regional road network traffic state was proposed based on vague sets and group decision-making. The time-space evolution pattern of regional traffic state could obtain through knowledge acquisition, and the bottleneck links also could identify. Numerical results of a case study testified to the effectiveness of the proposed methods.
Keywords :
decision support systems; knowledge acquisition; road traffic; set theory; decision support; group decision making; knowledge acquisition method; road network traffic state; traffic state decision matrix; traffic state identification; vague sets; Detectors; Engineering management; Fuzzy reasoning; Fuzzy systems; Knowledge acquisition; Road transportation; Set theory; Technology management; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5362889
Filename :
5362889
Link To Document :
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