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