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Articles

The effect of green time on stochastic queues at traffic signals

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Pages 3-19 | Received 10 Mar 2013, Accepted 25 Jul 2013, Published online: 18 Oct 2013

Figures & data

Table 1. Conditions for specified final queue in green period with capacity G.

Figure 1. Dependence of M/D/1[G] equilibrium p0 (left) and mean queue (right) on ρ, G from simulation (imax = 10,000). Points measured from Olszewski (Citation1990) are shown (EVOL).
Figure 1. Dependence of M/D/1[G] equilibrium p0 (left) and mean queue (right) on ρ, G from simulation (imax = 10,000). Points measured from Olszewski (Citation1990) are shown (EVOL).

Table 2. Representation of recurrence relations for G = 5 lower queue states.

Figure 2. Errors in Cronjé–Newell factor (left) and relationship of slopes v. G to ρ (right).
Figure 2. Errors in Cronjé–Newell factor (left) and relationship of slopes v. G to ρ (right).
Figure 3. Performance of normalised original and adjusted Cronjé–Newell methods.
Figure 3. Performance of normalised original and adjusted Cronjé–Newell methods.
Figure 4. Plots of Markov-simulated p0e against link function z which depends on ρ and G.
Figure 4. Plots of Markov-simulated p0e against link function z which depends on ρ and G.
Figure 5. Plots of link-function mapping for simulated Le[G] (left) and Ve[G] (right).
Figure 5. Plots of link-function mapping for simulated Le[G] (left) and Ve[G] (right).
Figure 6. M/D/1[G] simulation and estimation compared for 25 pairs of ρ and G.
Figure 6. M/D/1[G] simulation and estimation compared for 25 pairs of ρ and G.
Figure 7. Gamma fits to M/D/1[G] extended distributions for ρ = 0.8, G up to 20.
Figure 7. Gamma fits to M/D/1[G] extended distributions for ρ = 0.8, G up to 20.
Figure 8. Fits between doubly nested geometric and Markov simulated M/D/1[G] distributions, with M/M/1 for comparison (lower graphs).
Figure 8. Fits between doubly nested geometric and Markov simulated M/D/1[G] distributions, with M/M/1 for comparison (lower graphs).