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The traffic variables include: traffic volume, maximum queue length, shock wave characteristics (e.g. shock wave speed and shock wave area), and the platoon ratio.
Using these indices, the queueing process of vehicles at the intersection with waiting areas can be explicitly formulated, in particular, the dynamic behavior of queues along the time during a cycle can be captured, and the formation of maximum queue length during a cycle can also be measured.
Figure 6 Control effects comparison estimated by maximum queue length.
Let Q max be the maximum queue length.
Each AC has a maximum queue length of 50 packets.
The number of outer nodes, k, and the maximum queue length, M, affect the network performance.
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Results showed that volume per toll lane and method of payment significantly affect the average delay and maximum queue lengths of a toll station.
The developed controlling method was compared with four other methods and showed a good performance in terms of reducing the average and maximum queue lengths, optimizing the given green time amount as needed, and increased the intersection's throughput (increased the given green time utilization).
The figure shows how close to demanded throughputs the system delivers, for different maximum queue lengths and measurement periods.
Figure 9 shows the mean number of iterations from 10 independent simulations for different measurement periods and buffer space (i.e., maximum queue lengths).
The figure shows the resulting queuing in amount of packets after adaptation finish, for different maximum queue lengths and measurement periods.
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