DocumentCode
3408455
Title
Modeling traffic flow in complex multi-scale freeway
Author
Zhong, DongNing ; Chen, Senfa
Author_Institution
Inst. of Syst. Eng., Southeast Univ., Nanjing, China
fYear
2009
fDate
10-12 Nov. 2009
Firstpage
1734
Lastpage
1738
Abstract
A new multi-scale modeling of traffic flow is proposed by combining micro-model with meso-model based upon the multi-scale model of complex system theory and the theory of cellular automata. This method can overcome some problems in the existing models. Numerical simulation results demonstrate that the proposed model can mimic traffic flow data, such as congestion, evacuation of congestion, stop-and-go phenomena and phantom jam.
Keywords
cellular automata; traffic; cellular automata; complex multi-scale freeway; complex system theory; congestion; meso-model; micro-model; multi-scale modeling; phantom jam; stop-and-go phenomena; traffic flow; Computational intelligence; Computational modeling; Control systems; Integral equations; Intelligent systems; Intelligent vehicles; Kinetic theory; Nonlinear control systems; Road vehicles; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4914-9
Electronic_ISBN
978-1-4244-4916-3
Type
conf
DOI
10.1109/GSIS.2009.5408195
Filename
5408195
Link To Document