A traffic partition method based on unsupervised classification

Author

Yufeng, Gui ; Qingmei, Zong ; Xiuqing, Wu ; Zhiling, Zhang ; Pengpeng, Liu

Author_Institution

Coll. of Sci., Wuhan Univ. of Technol., Wuhan, China

Volume

3

fYear

2010

fDate

25-27 June 2010

Abstract

This paper focuses on the traffic division problems. First the necessity of Traffic Division is described. Nine indicators are selected from the conditions of transportation facilities, traffic operating and traffic environment to research the urban traffic area. And then the theory of traffic division is researched by using unsupervised classification methods. On basis of this, urban traffic cluster system is explored. It has provided some useful information for the analysis and evaluation of urban transportation.

Keywords

pattern classification; road traffic; traffic engineering computing; traffic division theory; traffic environment condition; traffic operating condition; traffic partition method; transportation facilities; unsupervised classification; urban traffic area; urban traffic cluster system; Communication system traffic control; Control systems; Educational institutions; Hardware; Intelligent control; Intelligent networks; Roads; Software; Transportation; Urban pollution; traffic division; unsupervised classification; zoning index;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Design and Applications (ICCDA), 2010 International Conference on

Conference_Location

Qinhuangdao

Print_ISBN

978-1-4244-7164-5

Electronic_ISBN

978-1-4244-7164-5

Type

conf

DOI

10.1109/ICCDA.2010.5541308

Filename

5541308