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

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.

Published online:
DOI: https://doi.org/10.5802/smai-jcm.15
Classification: 65N35,  15A15
Keywords: Stochastic particle methods, Paveri-Fontana model, Traffic flow
@article{SMAI-JCM_2016__2__229_0,
author = {Jyda Mint Moustapha and Benjamin Jourdain and Dimitri Daucher},
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},
volume = {2},
year = {2016},
doi = {10.5802/smai-jcm.15},
mrnumber = {3633551},
zbl = {1416.65038},
language = {en},
url = {https://smai-jcm.centre-mersenne.org/articles/10.5802/smai-jcm.15/}
}
Jyda Mint Moustapha; Benjamin Jourdain; Dimitri Daucher. A probabilistic particle approximation of the “Paveri-Fontana” kinetic model of traffic flow. The SMAI journal of computational mathematics, Volume 2 (2016) , pp. 229-253. doi : 10.5802/smai-jcm.15. https://smai-jcm.centre-mersenne.org/articles/10.5802/smai-jcm.15/

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