DocumentCode :
3291107
Title :
A Data-Mining-Based Study on Road Traffic Information Analysis and Decision Support
Author :
Ya-jun, Wang ; Zhao-cheng, Yu ; Song-bai, He ; Jie-Li, Cheng ; Zhi-Jun, Zhang
Author_Institution :
Acad. of Mil. Transp., Tianjin, China
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
24
Lastpage :
27
Abstract :
According to the characteristics and requests of data analysis of traffic information, data mining techniques are put forward to apply to the management and decision-making of traffic information. Based on this foundation, an integrated model of the traffic information intelligent analysis and decision support is further given. This model has data mining techniques and data warehouse at its core, and fully applies computer intelligence techniques and the theory of the decision support system. As main parts of this article, the modelpsilas main components, key techniques and implementing plan are elaborated.
Keywords :
data mining; decision support systems; traffic information systems; data mining; decision support system; decision-making; road traffic information analysis; traffic information intelligent analysis; Communication system traffic control; Competitive intelligence; Data analysis; Data mining; Databases; Information analysis; Knowledge management; Roads; Traffic control; Waste management; Data Mining; Integration; Intelligent Traffic; Traffic Information; the Association Rules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3646-0
Type :
conf
DOI :
10.1109/WMWA.2009.58
Filename :
5232459
Link To Document :
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