Data-Driven Models of Selfish Routing: Why Price of Anarchy Does Depend on Network Topology
WINE, pp. 252-265, 2020.
We investigate traffic routing both from the perspective of real world data as well as theory. First, we reveal through data analytics a natural but previously uncaptured regularity of real world routing behavior. Agents only consider, in their strategy sets, paths whose free-flow costs (informally their lengths) are within a small mult...More
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