Khoshyaran, Megan MLebacque, Jean-PatrickContinuum traffic modeling is designed for very large networks and relies on a double approximation. The network is assumed to be dense and is described as a two-dimensional medium, whereas the traffic in the network is described as a bi-dimensional fluid. Traffic on major arterials is described separately using the GSOM (Generic second order model) approach. The dense network is divided into macro-cells, typically one to 10 km in size. The dynamics of traffic in the two-dimensional medium result from the interplay of supply and demand inside and between macro-cells. The paper addresses important modeling issues such as how to estimate the average densities, how to determine the equilibrium traffic supply and demand functions, and how to evaluate traffic supplies and demands.
Continuum Traffic Flow Modelling: Network Approximation, Flow Approximation
Springer Proceedings Phys.
2020-11-17
9 pages
Article/Chapter (Book)
Electronic Resource
English
Bidimensional model , Two-dimensional model , Continuum model , Gsom model , Discretization , Dynamic assignment , Anisotropic network , Local traffic supply , Local traffic demand , Min principle , Homogenization Physics , Soft and Granular Matter, Complex Fluids and Microfluidics , Transportation Technology and Traffic Engineering , Complex Systems , Computer Appl. in Social and Behavioral Sciences , Statistical Physics and Dynamical Systems , Physics and Astronomy
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