DocumentCode :
2881039
Title :
Research on Traffic State Prediction Modal of Intersection Entrance Base on Discriminant Analysis
Author :
Yu, Jingfei ; Wang, Li
Author_Institution :
Archit. & Civil Eng. Sch., UST Inner Mongolia, Baotou, China
fYear :
2012
fDate :
1-3 June 2012
Firstpage :
1
Lastpage :
3
Abstract :
In accordance with vagueness and uncertainty of traffic state in intersection entrance, the paper chooses prediction influence indexes of traffic state in intersection entrance, including arriving rate, rank length, signal circle, saturation degree and lane amount, which is based on the comprehensive consideration of influence indexes of traffic state in entrance. Traffic state prediction modal of intersection entrance is obtained through survey sample data base on fisher discriminant analysis, meanwhile the modal is testified and verified by sample data, results show modal take advantage of predicting traffic state of intersection entrance by fisher discriminant method.
Keywords :
road traffic; arriving rate; discriminant analysis; fisher discriminant analysis; intersection entrance; lane amount; rank length; saturation degree; signal circle; traffic state prediction modal; Educational institutions; Equations; Indexes; Mathematical model; Predictive models; Roads; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0872-4
Type :
conf
DOI :
10.1109/RSETE.2012.6260710
Filename :
6260710
Link To Document :
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