DocumentCode
2496010
Title
Researching the relationship among traffic flow three parameters based on swallowtail catastrophe model
Author
Guo, Jian ; Wu, Dongjian
Author_Institution
Dept. of Nucl. Power Eng., Harbin Eng. Univ., Harbin
fYear
2008
fDate
25-27 June 2008
Firstpage
7187
Lastpage
7191
Abstract
The kick phenomena of traffic flow can be solved by taking catastrophe mathematic models to research the relationship among traffic flow three parameters. The limitation of cusp catastrophe model is remedied by swallowtail catastrophe model, and swallowtail catastrophe model is qualitatively analyzed. It is hard to set up potential function by using conventional methods. So the potential function is set up on the basic of the evolution relationship among systems. Based on a group of measured data and the result of polynomial fitting, the relationship between velocity-density, velocity-flow and flow-density are analyzed respectively. The result of theoretical analysis is conformed to the practical condition. Because of measured data, which is detailed, it is workable to analyze these kind problems by using the method.
Keywords
catastrophe theory; polynomial approximation; road traffic; catastrophe mathematical model; cusp catastrophe model; evolution relationship; flow-density relationship; kick phenomena; polynomial fitting; potential function; swallowtail catastrophe model; traffic flow parameters; urban traffic system; velocity-density relationship; velocity-flow relationship; Automation; Intelligent control; Mathematical model; Mathematics; Polynomials; Power engineering; Power engineering and energy; Power system modeling; Traffic control; Velocity measurement; potential function; swallowtail catastrophe; traffic flow; traffic flow three parameters;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4594035
Filename
4594035
Link To Document