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Models of this class include a multi-species generalization of the Lighthill–Whitham Richards traffic model and a model for the sedimentation of polydisperse suspensions.
Assuming a future traffic model and different scenarios for re-orbiting and removal, the future evolution of the large object population in and near GEO is assessed.
This paper proposes a traffic model and a parameter fitting procedure that are capable of achieving accurate prediction of the queuing behavior for IP traffic exhibiting long-range dependence.
While the effectiveness of control schemes highly depends on accurate traffic model and appropriate control settings, optimization techniques play a central role for determining the control parameters in traffic planning and management applications.
The simulation results demonstrate that the optimal joint sequence can cut down the average packet delay up to 14% under a random uniform traffic model and even 45% under a hot-spot traffic model.
Our key technique is to study the problem within the domain of deterministic and stochastic traffic envelopes, which allows us to explicitly consider sources with rate variations over multiple time scales, obtain results for any deterministic traffic model, and design accurate admission control tests for buffered priority schedulers.
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Prof. Work has research interests in transportation cyber physical systems, traffic modeling, and transportation data analytics.
His research interests are in Transportation Network Modeling, Analysis, and Simulation, Urban Traffic Modeling and Operations, and Intelligent Transportation Systems ITSS).
Such detailed information is of great importance for traffic modeling and control.
This paper describes the design of an integrated traffic modeling and simulation framework using Semantic Web technology.
We investigated the effects of load and traffic models and the obtained results show that the traffic models and load that ends processing elements has a direct effect on the energy consumption and area requirements.
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