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