We study kinetic models for traffic flow characterized by the property of producing backward propagating waves. These waves may be identified with the phenomenon of stop-and-go waves typically observed on highways. In particular, a refined modeling of the space of the microscopic speeds and of the interaction rate in the kinetic model allows to obtain weakly unstable backward propagating waves in dense traffic, without relying on non-local terms or multi–valued fundamental diagrams. A stability analysis of these waves is carried out using the Chapman-Enskog expansion. This leads to a BGK-type model derived as the mesoscopic limit of a Follow-The-Leader or Bando model, and its macroscopic limit belongs to the class of second-order Aw-Rascle and Zhang models.

From Kinetic to Macroscopic Models and Back / Herty, M.; Puppo, G.; Visconti, G.. - (2021), pp. 17-34. - SEMA SIMAI SPRINGER SERIES. [10.1007/978-3-030-66560-9_2].

From Kinetic to Macroscopic Models and Back

Puppo G.;Visconti G.
2021

Abstract

We study kinetic models for traffic flow characterized by the property of producing backward propagating waves. These waves may be identified with the phenomenon of stop-and-go waves typically observed on highways. In particular, a refined modeling of the space of the microscopic speeds and of the interaction rate in the kinetic model allows to obtain weakly unstable backward propagating waves in dense traffic, without relying on non-local terms or multi–valued fundamental diagrams. A stability analysis of these waves is carried out using the Chapman-Enskog expansion. This leads to a BGK-type model derived as the mesoscopic limit of a Follow-The-Leader or Bando model, and its macroscopic limit belongs to the class of second-order Aw-Rascle and Zhang models.
2021
SEMA SIMAI Springer Series
traffic flow; kinetic models; BGK equations; stop and go
02 Pubblicazione su volume::02a Capitolo o Articolo
From Kinetic to Macroscopic Models and Back / Herty, M.; Puppo, G.; Visconti, G.. - (2021), pp. 17-34. - SEMA SIMAI SPRINGER SERIES. [10.1007/978-3-030-66560-9_2].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1553434
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