Traffic Accident Cause Analysis Method Based on Knowledge Acquisition Model

Author

Zhu, Yin ; Wang, Junli ; Lu, Huapu

Author_Institution

Traffic Manage. Eng. Dept., Chinese People´´s Public Security Univ., Beijing

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

131

Lastpage

135

Abstract

This paper presents the knowledge acquisition model of traffic accident cause analysis method from the point of structured information. Moreover, this paper introduces the modified knowledge acquisition model based on relative rough set theory, which can obtain effective information based on the database otherwise data ware. By this model, we can efficiently obtain relative information real-time, in order that the system can be more adapt to the practical application than before.

Keywords

accident prevention; data warehouses; knowledge acquisition; road accidents; road traffic; rough set theory; traffic engineering computing; database technology; dataware technology; knowledge acquisition model; rough set theory; structured information; traffic accident cause analysis method; Data analysis; Data security; Data warehouses; Databases; Information analysis; Information security; Knowledge acquisition; Knowledge engineering; Road accidents; Traffic control; Cause Analysis; Knowledge Acquisition Model; Traffic Accident;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3488-6

Type

conf

DOI

10.1109/KAM.2008.165

Filename

4732801