DocumentCode
2216328
Title
Prediction of bus traffic volume based on extension cluster model
Author
Wang, Wenjuan ; Yu, Yongquan ; Lan, Shoujian
Author_Institution
Inst. of Comput., Gunagdong Univ. of Technol., Guangzhou, China
Volume
1
fYear
2010
fDate
20-22 Aug. 2010
Abstract
This paper analyze the influential factors of bus traffic volume. Use the concept of matter-element and correlation function to establish prediction model, the prediction results can be obtained by means of cluster analysis. Through analyzing and calculating the historical data of Guangzhou City, the results show that the model in the bus traffic volume is valid.
Keywords
correlation methods; pattern clustering; prediction theory; transportation; bus traffic volume prediction; cluster analysis; correlation function; extension cluster model; historical data; influential factors; matter-element; prediction model; Correlation; Fitting; bus traffic volume; correlation function; extension cluster; prediction model;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579051
Filename
5579051
Link To Document