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- W565548029 abstract "This paper is concerned with finding first-best tolls in static transportation networks subject to long term demand uncertainty and day-to-day variation in network capacity. The main motivation for this research is to explore the role of uncertainty and information in transportation networks where tolling is practiced. The focus is on quantifying the potential benefit of providing information to travelers with and without dynamic tolling, when the network is subject to both supply and demand uncertainty. Multiple scenarios are developed, in which both the users and the network manager have varying degrees of flexibility in varying their decisions according to the supply and demand realizations. Solution techniques are presented for each scenario, and applied to the well-known Sioux Falls network." @default.
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- W565548029 date "2010-01-01" @default.
- W565548029 modified "2023-09-26" @default.
- W565548029 title "Congestion Pricing for Transportation Networks Under Supply and Demand Uncertainty" @default.
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