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Many particle approximation of the Aw-Rascle-Zhang second order model for vehicular traffic
Marco Di Francesco1, Simone Fagioli, Massimiliano D Rosini
1DISIM, Universita degli Studi dell'Aquila, via Vetoio 1 (Coppito), 67100 LAquila (AQ), Italy.
Abstract:
We consider the follow-the-leader approximation of the Aw-Rascle-Zhang (ARZ) model for traffic flow in a multi population formulation. We prove rigorous convergence to weak solutions of the ARZ system in the many particle limit in presence of vacuum. The result is based on uniform BV estimates on the discrete particle velocity. We complement our result with numerical simulations of the particle method compared with some exact solutions to the Riemann problem of the ARZ system.
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