Title :
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
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;
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
DOI :
10.1109/ICCDA.2010.5541308
