Uncertainty in Multi-Commodity Routing Networks: When does it help?
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We study the equilibrium quality under user uncertainty in a multi-commodity selfish routing game with many types of users, where each user type experiences a different level of uncertainty. We consider a new model of uncertainty where each user-type over or under-estimates their congestion costs by a multiplicative constant. We present a variety of theoretical results showing that when users under-estimate their costs, the network congestion decreases at equilibrium, whereas over-estimation of costs leads to increased equilibrium congestion. Motivated by applications in urban transportation networks, we perform simulations consisting of parking users and through traffic on synthetic and realistic network topologies. In light of the dynamic pricing policies adopted by network operators to tackle congestion, our results indicate that while users' perception of these prices can significantly impact the policy's efficacy, optimism in the face of uncertainty leads to favorable network conditions.
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