  Transportation infrastructures, particularly those supporting intermodal
freight, are vulnerable to natural disasters and man-made disasters that could
lead to severe service disruptions. These disruptions can drastically degrade
the capacity of a transportation mode and consequently have adverse impacts on
intermodal freight transport and freight supply chain. To address service
disruption, this paper develops a model to reliably route freight in a
road-rail intermodal network. Specifically, the model seeks to provide the
optimal route via road segments (highway links), rail segments (rail lines),
and intermodal terminals for freight when the network is subject to capacity
uncertainties. To ensure reliability, the model plans for reduced network link,
node, and intermodal terminal capacity. A major contribution of this work is
that a framework is provided to allow decision makers to determine the amount
of capacity reduction to consider in planning routes to obtain a user-specified
reliability level. The proposed methodology is demonstrated using a real-world
intermodal network in the Gulf Coast, Southeastern, and Mid-Atlantic regions of
the United States. It is found that the total system cost increases with the
level of capacity uncertainty and with increased confidence levels for
disruptions at links, nodes, and intermodal terminals.
