Title :
Modeling traffic flow in complex multi-scale freeway
Author :
Zhong, DongNing ; Chen, Senfa
Author_Institution :
Inst. of Syst. Eng., Southeast Univ., Nanjing, China
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;
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
DOI :
10.1109/GSIS.2009.5408195
