DocumentCode :
2015951
Title :
A traffic flow prediction model based on ordered logistic regression
Author :
Li, Weiguo ; Li, Cuiying ; Du, Xiaoping ; Qian, Kun ; Zhang, Hanjie ; Hou, Dezao
Author_Institution :
Key Lab. of Road Safety Technol., Minist. of Commun., China
fYear :
2010
fDate :
16-18 Aug. 2010
Firstpage :
213
Lastpage :
216
Abstract :
Traffic flow is a dynamic and nonlinear giant system, there is no unified criterion for evaluating traffic condition at present. According to the characteristics of mountain highway and Hall model, this paper formalizes traffic states based on the average vehicle speed. Though applying ordered logistic regression approach to specify the factors affecting traffic flow, a high accurate prediction model was established.
Keywords :
logistics; regression analysis; transportation; Hall model; logistic regression; nonlinear giant system; traffic flow prediction model; Adaptation model; Hall model; forecasting; ordered logistic regression; traffic flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Content, Multimedia Technology and its Applications (IDC), 2010 6th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-7607-7
Electronic_ISBN :
978-8-9886-7827-5
Type :
conf
Filename :
5568701
Link To Document :
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