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This paper proposes a multiagent model for the microscopic simulation of drivers in a virtual environment.
In the model, a macroscopic representation of passenger flows is hybridized with a microscopic simulation of vehicles.
In this contribution an extension of the original density-based Level of Service schemes is suggested for use in microscopic simulation of pedestrian traffic.
As for simulation-based ones, CA model is widely used for microscopic simulation of vehicles on freeway though defects exist as well.
We use our Microscopic Human Factors methodology to fuse a microscopic simulation of these human factors with a popular microscopic crowd model.
To avoid the restrictions imposed by adopting a viscoelastic flow model of limited validity, a multiscale computational model is introduced in which the continuum-level properties of the airway surface liquid are determined by microscopic simulation of long-chain polymers.
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The effective rates can be computed, in the case of periodic media, from three-dimensional microscopic simulations of the periodic cell.
In the present paper, computational microscopic simulations of metallic dissolution based on the microscopic Monte Carlo algorithm allowed the effect of surface adsorbate relaxation to be isolated from other possible intervening features such as surface relaxation.
Microscopic simulations of actin filaments, i.e., where every molecule is represented by an individual model entity with its own position, include a Brownian dynamics simulation of ATP-actin polymerization [ 36],[ 37] with focus on the process of treadmilling, i.e., filament growth on the barbed end and simultaneous shrinking at the pointed end.
Also, the measures require full microscopic simulations for deriving the value of travel time increase, which is used for predicting network performance in case a disaster situation occurs.
Subsequently, order reduction techniques for dissipative partial-differential equations are combined with adaptive tabulation of microscopic simulation data to reduce the computational requirements of the optimization problem, which is then solved using standard search algorithms.
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