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Exact(6)
Simulation results of a coupled perimeter control of two interacting aggregate urban traffic regions are presented.
The cdf of the users' scheduled SINR in the three traffic regions is shown in Figure 6.
The first part of the section will focus on establishing the traffic regions as described in Section 2.2 and on a comparison of the scheduling algorithms.
Our target is to consider all candidates and to find possible routes that can be used to avoid heavy traffic regions by incorporating traffic conditions into our calculation.
While in the United States a very accurate set of air transport data is provided by the Bureau of Transportation Statistics, airline-specific information on flown aircraft kilometres or revenue ton kilometres is not available for other world traffic regions.
The behaviour observed in Figure 3, both for the carried load and the number of users per cell, can help us choose a representative offered load value for each of the three characteristic traffic regions.
Similar(54)
OWRT is superior to DT in low traffic region, but becomes inferior in high traffic region.
Observation 1: In high traffic region, T TWR opt = T.
When α = 4, OWRT is superior to DT in low traffic region, but is inferior to DT in high traffic region.
It means that in low traffic region, OWRT is more energy efficient.
It means that in high traffic region, DT is more energy efficient.
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