Optimization Approach notes

Optimization Approach notes - Optimization Approach In the...

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Optimization Approach In the idealized situation where traffic arrives uniformly and deterministically to a signalized intersection, one can model the traffic control system as a D/D/1 queuing regime. The timing plan to minimize the total delay per cycle can be determined by solving the following mathematical program: () 2 , min 21 / 0, 0, i n ii Cg i n i i i i vC g TD vs gLC gs vC i gi = += −≥ ≥∀ ( 1 ) where TD is the total delay per cycle obtained from a deterministic analysis of the arrival and departure curves; ,, , ii i vsg are, respectively, the volume (in vehicles per second), saturation flow (in vehicles per second), and green time (in seconds) for phase i ; C is the cycle time (in seconds); L is the total lost time of the timing plan (in seconds); and n is the total number of phases of the timing plan. In situations where several approaches share the same phase, the volume of the most critical approach, in terms of having the largest / ratio, is used. The constraint 0 i sg is added to prevent the occurrence of overflow; otherwise the delay will grow from cycle to cycle without a constant value. In Appendix A, based on the first order conditions of (1), we show that the optimal strategy is to provide each phase with a green time that it is just long enough to clear the traffic that arrives within the cycle (i.e., / i gv C s =⋅ ). The cycle time such determined is typically short. For an n -phase operation, the optimal solution of (1) is: 1/ / / n i i n i i i n i L C C s Lv s g = =   = (2)
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According to this deterministic approach, plans with any excess green time deviate from the optimal solution, thus resulting in an increase in total delay. In reality, vehicle arrivals have variability. In cycles when the arrival rates are higher than the approach’s capacity ( / ii gs C ), there is an overflow. The overflow must wait for the next cycle for discharge, thus incurring additional delays. Moreover, this overflow will increase the likelihood of creating another
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Optimization Approach notes - Optimization Approach In the...

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