DocumentCode :
2397486
Title :
The study on the application of fuzzy clustering analysis in the dynamic identification of road traffic state
Author :
Jiang, Gui-yan ; Wang, Jiang-feng ; Zhang, Xiao-dong ; Gang, Long-hui
Author_Institution :
Jilin Univ., Changchun, China
Volume :
2
fYear :
2003
fDate :
12-15 Oct. 2003
Firstpage :
1149
Abstract :
Using fuzzy clustering approach, this paper studies the problem of state identification of road traffic. Firstly, the characteristics of road traffic are analyzed in fuzzy theory views. Then the basic steps of road traffic state identification are designed based on the fuzzy clustering method. At last a demonstration is given with a throughway traffic data of China. The result shows that fuzzy clustering is promising in the dynamic identification of road traffic state.
Keywords :
fuzzy set theory; identification; pattern clustering; road traffic; China; fuzzy clustering approach; fuzzy theory; road traffic state identification; traffic characteristics; Clustering methods; Data conversion; Decision making; Microwave integrated circuits; Roads; Sensor phenomena and characterization; Technology management; Traffic control; Transportation; 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.2003.1252723
Filename :
1252723
Link To Document :
بازگشت