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
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;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579051
