DocumentCode
400081
Title
The study on the application of fuzzy clustering analysis in the dynamic identification of road traffic state
Author
Jiang, Guiyan ; Wang, Jiangfeng ; Zhang, Xiaodong ; Gang, Longhui
Author_Institution
Jilin Univ., Changchun, China
Volume
1
fYear
2003
fDate
12-15 Oct. 2003
Firstpage
408
Abstract
Using the fuzzy clustering approach, this paper studies the problem of state identification of road traffic. Firstly, the traffic characteristics of road network are analyzed in fuzzy theory view. Then the basic steps of traffic state identification are designed based on the fuzzy clustering method. At last a demonstration is given founded on a throughway traffic data of China. The result shows that the fuzzy clustering approach is promising for the dynamic identification of road traffic state.
Keywords
decision making; fuzzy set theory; identification; pattern clustering; road traffic; China; fuzzy clustering analysis; fuzzy theory; road network; road traffic state identification; traffic data; Clustering methods; Decision making; Intelligent networks; Intelligent transportation systems; Roads; Sensor phenomena and characterization; Technology management; Telecommunication traffic; Traffic control; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN
0-7803-8125-4
Type
conf
DOI
10.1109/ITSC.2003.1251986
Filename
1251986
Link To Document