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The track model includes genesis model, movement model, and intensity model.
Also, we employ a microscopic traffic movement model and we assess the global performance of the road network.
Example mobility models [58 60] include the shortest map-based model, working day movement model and random walk model.
In the upper filter, nonlinear properties of human motion (by means of a dedicated movement model) and other nonlinear effects such as building plans can be considered.
The developed moisture movement model and finite differential method can well predict the moisture distribution as well as its variations with time of concrete internal cured with PSLWA.
This article illustrated an agent-based people movement model, and a case targeting at the people movement pattern and egress process in a metro station has been studied.
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The hybrid control systems combine the open-loop tracking trajectories based on the solar movement models and the closed-loop control, using dynamic feedback controllers [14].
Additionally, we discuss some alternative individual movement models and discuss some consideration of how to analyze search-encounter designs with partial information, for example, when the search path was not recorded.
A case study from the movement of the Métis people of Canada is used to test typical models of cost path movement used in archaeology against known historic trails information, followed by a discussion of possible future applications of movement models and variables related to local Indigenous knowledge of current and past landscapes.
The n-th order unscented Kalman filter combines two extensions: (1) the unscented Kalman filter [41], which allows arbitrary non-linear models to be used in Kalman filtering, (2) the n-th order extension, which allows more expressive autoregressive order n (AR n) movement models and neural tuning models.
Our n-th order unscented Kalman filter (UKF) combined two extensions to the standard Kalman filter [42]: (1) the unscented transform [41], which allowed approximate filtering under non-linear models, and (2) the n-th order extension, which allowed autoregressive movement models and multiple temporal-offset neural tuning models.
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