Acknowledgments The authors would like to thank Midori Tanino and Ved Sud of the FAA for their support and encouragement. Within the Volpe Center, we would like to thank Dick Bair, Rick Oiesen and Ken Howard for reviewing the report and their valuable comments and suggestions that improved its content. We also thank Mary Costello for editing this report. The Enhanced Traffic Management System (...

We develop a two-stage model of the LNG market to determine the incentives to enter long-term contracts vs. spot trade and to understand the causes of new contract terms. First we study how LNG importers and exporters negotiate long-term supply contracts and make investments under demand uncertainty. Second we analyze spot trade when demand is known, capacities and long-term supplies are fixed....

Transport network pricing schemes are an integral traffic management strategy that can be implemented to reduce congestion, among other network impacts. However, the problem of determining tolls becomes much more complex when multiple sources of demand uncertainty are considered. This work proposes a novel tolling model based on a particular variant of strategic user equilibrium in which users ...

Microgrid (MG) is one of the important blocks in the future smart distribution systems. The scheduling pattern of MGs affects distribution system operation. Also, the optimal scheduling of MGs will be result in reliable and economical operation of distribution system. In this paper, an operational planning model of a MG which considers multiple demand response (DR) programs is proposed. In the ...

Energy demand pattern have many variables related to uncertainty behavior. These lead to a higher estimation rate of energy demand forecasting. However, two problems need to be overcome. The first problem is the fitness evaluation in energy demand forecasting model in which more than one variable are included, and the second problem is the local optimality that single algorithm fails to solve. ...

Current network modeling practices usually assess the network performance at specified time interval, i.e. every 5 or 10 years time horizon. Furthermore, they are usually based on partially predictable data, which are being generated through various stochastic procedures. In this research, a new quantitative based methodology which combines combinatorial optimization modeling and transportation...

In the current competitive, integrated approach to supply chain management and distribution network design, especially in conditions of uncertainty, in order to ensure timely needs of customers in terms of savings in costs and raise the level of customer service, in recent years. Estimating the stochastic demand for transportation distribution networks is a crucial factor in transport planning ...