A probabilistic particle approximation of the “Paveri-Fontana” kinetic model of traffic flow
The SMAI Journal of computational mathematics, Tome 2 (2016), pp. 229-253

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This paper is devoted to the Paveri-Fontana model and its computation. The master equation of this model has no analytic solution in nonequilibrium case. We develop a stochastic approach to approximate this evolution equation. First, we give a probabilistic interpretation of the equation as a nonlinear Fokker-Planck equation. Replacing the nonlinearity by interaction, we deduce how to approximate its solution thanks to an algorithm based on a fictitious jump simulation of the interacting particle system. This algorithm is improved to obtain a linear complexity regarding the number of particles. Finally, the numerical method is illustrated on one traffic flow scenario and compared with a finite differences deterministic method.

Publié le :
DOI : 10.5802/smai-jcm.15
Classification : 65N35, 15A15
Keywords: Stochastic particle methods, Paveri-Fontana model, Traffic flow

Mint Moustapha, Jyda 1 ; Jourdain, Benjamin 2 ; Daucher, Dimitri 1

1 Université Paris-Est, LEPSIS - IFSTTAR, France
2 Université Paris-Est, CERMICS - ENPC, France
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     title = {A probabilistic particle approximation of the {{\textquotedblleft}Paveri-Fontana{\textquotedblright}} kinetic model of traffic flow},
     journal = {The SMAI Journal of computational mathematics},
     pages = {229--253},
     publisher = {Soci\'et\'e de Math\'ematiques Appliqu\'ees et Industrielles},
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     year = {2016},
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Mint Moustapha, Jyda; Jourdain, Benjamin; Daucher, Dimitri. A probabilistic particle approximation of the “Paveri-Fontana” kinetic model of traffic flow. The SMAI Journal of computational mathematics, Tome 2 (2016), pp. 229-253. doi: 10.5802/smai-jcm.15

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