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The upper bound of the average user throughput is defined as the average traffic arrival rate.
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As part of its maintenance duties, the MDOT tracks traffic volumes on the state highways in a metric called average annual daily traffic (AADT), which is a calculation of the average traffic level for any day of a year.
From the given simulation results, it is concluded that relaying can significantly improve the network QoS performance in terms of PRB utilization, E2E delay as well as average traffic received.
Three hundred and sixty-six miles were added in the seven years before the slowdown began, even as average traffic speed increased.
This measurement of traffic volume is known as the average annual daily traffic (AADT).
This is most commonly expressed as the average annual daily traffic (AADT), or the measure of traffic volume for any average day of the year.
These volumes are expressed as the average annual daily traffic (AADT), which is a measurement of the number of vehicles on a stretch of roadway for any average day of the year.
The results discover that several attributes related to the zonal social economic, average traffic condition as well as roadway geometric design characteristics are statistically significant.
If traffic is invariant over time, this type of simulation models the steady-state average traffic conditions and is stated as static; if traffic changes over time, this type models the variant nature of traffic and is stated as dynamic.
Likewise, we define the carried load, C, as the average amount of supported traffic in one of the cells (macro scenario) or in one cluster (small cell scenario).
The motorway carries a considerable volume of traffic throughout the year; however, in the summer, its peak volume is nearly double the average, as traffic intensifies because of tourists travelling to Adriatic Sea resorts and back.
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