14.15J/6.207J Networks: Applications of Game Theory to Networks
14.15J/6.207J Networks: Applications of Game Theory to Networks
14.15J/6.207J Networks: Applications of Game Theory to Networks
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<strong>Networks</strong>: Lecture 12Wardrop EquilibriaMore General Traffic Model: NotationLet us start with a single origin-destination pair.Directed network N = (V , E ).P denotes the set <strong>of</strong> paths between origin and destination.x p denotes the flow on path p ∈ P.Each link i ∈ E has a latency function l i (x i ), wherex i = x p .{p∈P|i∈p}Here the notation p ∈ P|i ∈ p denotes the paths p that traverse linki ∈ E .The latency function captures congestion effects. Let us assume forsimplicity that l i (x i ) is nonnegative, differentiable, and nondecreasing.We normalize <strong>to</strong>tal traffic <strong>to</strong> 1 and in the context <strong>of</strong> the gametheoretic formulation here, I = [0, 1]. We also assume that all trafficis homogeneous. Each mo<strong>to</strong>rist wishes <strong>to</strong> minimize delay.7