Abstract
In this paper we consider a Boltzmann type equation arising in the kinetic vehicle traffic flow model with an acceleration variable. The latter model is improved within the framework of the previously developed approach by introducing a set of random parameters. This enables us to take into account different types of interacting vehicles, as well as various parameters describing skills and behavior of particular drivers. We develop new Monte Carlo algorithms to evaluate probabilistic moments of linear functionals of the solution to the considered equation.
Original language | English |
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Pages (from-to) | 143-152 |
Number of pages | 10 |
Journal | Russian Journal of Numerical Analysis and Mathematical Modelling |
Volume | 35 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Jun 2020 |
Keywords
- kinetic model
- Markov chain modelling
- Monte Carlo method
- multi-particle system evolution
- vehicular traffic flow (VTF)
- ACCELERATION
- SPEED
- MODEL
- ALGORITHMS
- FLOW
- Marlcov chain modelling