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Preliminary results based on first collision data are presented.
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Manner of collision is categorized in NASS/GES based on first harmful event and grouped into 5 categories: 1) not a collision with vehicle in transport; 2) angle; 3) sideswipe-same direction; 4) sideswipe-opposite direction and 5) other.
The Collision Risk Assessment Tool (CRASS), shall generate collision risk estimates and collision warnings based on collision probability for a time span on the order of one week.
First, a linear time-varying collision avoidance model based on a collision cone is established.
Second, an ordinary differential equation (ODE) model based on the collision coupling model [26], [27] was developed for studying the effect of receptor localization within lipid rafts on downstream signaling events.
The binding efficiency is based on the collision possibility.
In this work, we first show that the most common implementation of the VANS equations in the LBM, based on a redefined collision operator, is not valid in the case of spatially varying void fractions.
A nonlinear Monte Carlo collision model based on Coulomb binary collisions is presented with emphasis on its efficient implementation.
This section provides a review of approaches to risk assessment based on collision prediction.
All simulations are based on a collision-free MAC protocol without data loss.
Biochemical reactions are inherently noisy as they are based on random collisions of molecules.
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