This research considers congestion pricing under demand uncertainty. In particular, a robust optimization (RO) approach is applied to optimal congestion pricing problems under user equilibrium. A mathematical model is developed and an analysis performed to consider robust, dynamic user equilibrium, optimal tolls based on the second-best problem known as the dynamic optimal toll problem with equ...

The purpose of this paper is to estimate models for retail price of gasoline based on the prediction deriving from the recent infinitely repeated game theories, supergame theories. The prediction implies that both the future changes and the unexpected shock in the economic environment, where firms faces, do have an impact on the current retail price of gasoline. Using monthly time series data o...