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Qualitative analysis of some PDE models of traffic flow
Author(s) -
Tong Li
Publication year - 2013
Publication title -
networks and heterogeneous media
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.732
H-Index - 34
eISSN - 1556-181X
pISSN - 1556-1801
DOI - 10.3934/nhm.2013.8.773
Subject(s) - partial differential equation , flow (mathematics) , traffic flow (computer networking) , front (military) , mathematics , microscopic traffic flow model , stability (learning theory) , wavefront , mathematical analysis , chaotic , physics , mechanics , computer science , meteorology , traffic generation model , statistics , computer security , machine learning , artificial intelligence , optics
We review our previous results on partial differential equation(PDE) models of traffic ow. These models include the first order PDE models, a nonlocal PDE traffic ow model with Arrhenius look-ahead dynamics, and the second order PDE models, a discrete model which captures the essential features of traffic jams and chaotic behavior. We study the well-posedness of such PDE problems, finite time blow-up, front propagation, pattern formation and asymptotic behavior of solutions including the stability of the traveling fronts. Traveling wave solutions are wave front solutions propagating with a constant speed and propagating against traffic. © American Institute of Mathematical Sciences.

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