Sentence examples for optimal congestion from inspiring English sources

This paper reviews the theory of congestion pricing and the relationship between optimal congestion tolls and optimal road capacity.

The simulation results show that the cross-layer optimal Congestion Control approach outperforms other improved approaches and achieves higher fairness and throughput in ad hoc networks.

We solve it via decomposition and derive a family of optimal congestion control strategies at the receiver and of distributed algorithms for dynamic request forwarding at network nodes.

Thus, storage facilities will in general challenge optimal congestion management with common heuristic approaches to configure optimal price zones (e.g., the use of congested transmission lines of a nodal pricing system) not always suggesting optimal zonal configurations.

It discovers the optimal congestion control rules for a specific (but partially observed) state of the network by doing an extensive simulation-based optimization of network wide utility functions.

First, it set ssthresh to optimal congestion window.

Then, based on the dual decomposition method, this problem is decomposed into many subproblems, which can be solved independently in a parallel fashion at each source/link, and builds the Dual Decomposition based Optimal and Fair Congestion Control framework (D2OFC2) to coordinate their source allocation among flows.

Imagine Waze for robotic vehicles: Software guiding millions of drivers at optimal speeds, reducing congestion, shortening commutes and eliminating the need for costly public road expansion projects.

The timeline of the paper is as follows: Sect. 2 shows the formulations for optimal power flow, congestion management problem and artificial intelligence methodology.

Firstly, at the steady state, the optimal solution of congestion for the municipality always corresponds to a situation of overcongestion, and this is independent from the level of rigidities.

Our simulations pay more attention to evaluate the effect of the cross-layer optimization framework for congestion and power control on both optimal data rate and optimal transmit power of six different per-link flows.