Double randomization method for estimating the moments of solution to vehicular traffic problems with random parameters

DOI10.1515/RNAM-2020-0011OpenAlexW3033575580MaRDI QIDQ776951

Aleksandr Burmistrov, Mariya Korotchenko

Publication date: 13 July 2020

Published in: Russian Journal of Numerical Analysis and Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/rnam-2020-0011

zbMATH Keywords

Monte Carlo methodkinetic modelMarkov chain modellingmulti-particle system evolutionvehicular traffic flow (VTF)

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Integro-partial differential equations (45K05)

Related Items (1)

Global sensitivity analysis of statistical models by double randomization method

Uses Software

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Cites Work

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• The direct simulation Monte Carlo method applied to a Boltzmann-like vehicular traffic flow model
• Weighted statistical modelling algorithms with branching and extension of a model ensemble of interacting particles
• Distributed computing by the Monte Carlo method
• Application of statistical methods for the study of kinetic model of traffic flow with separated accelerations
• Efficient Monte Carlo algorithms for evaluating the correlation characteristics of conditional mathematical expectations
• A Vehicular Traffic Flow Model Based on a Stochastic Acceleration Process
• Weight Monte Carlo Method Applied to Acceleration Oriented Traffic Flow Model
• Value modifications of weighted statistical modelling for solving nonlinear kinetic equations

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