Regional Routing Model Review: B) A Multimodal Freight Routing Model Frank Southworth Oak Ridge National Laboratory Oak Ridge, TN 37831 NETS Program Review.

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Regional Routing Model Review: B) A Multimodal Freight Routing Model Frank Southworth Oak Ridge National Laboratory Oak Ridge, TN NETS Program Review December 12, 2005 Washington DC

O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY Rail Routing is the most challenging, requiring detailed information on the railroads involved and on their interlining practices. Generating Commodity Flows for the Base Case: Key Issues A) Estimating Annual O-D-C Movements: Rail and Water Movements can be Aggregated from Waybills and Waterborne commerce data (Note: Waybills are based on expanded samples) Truck Flow Data is Limited at Best – it Needs to Be Simulated Data on truck drays is limited, making it a challenge not only to assign water and rail flows to correct county origins/destinations on a fully nationwide basis, but also to extract remaining truck movements. B) Traffic Routing

O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY Simulated Wheat Flows, 2002 (Preliminary)

O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY Destination (Trip End) Railroad # 1 Railroad # 2 Which Railroad Will The Freight Pass Over? Railroad # 3 Interlines Between Two Different Railroads

O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY Modeling Truck Movements truck tons generated (O m )= total tons produced – (rail tons shipped + water tons shipped +on farm consumption) truck tons received (D m ) = total tons consumed – (rail tons received + water tons received) j X i j m = O i m for all i producing counties j X i j m = D j m for all j receiving counties X i j m = F{ O i m, D j m, C ij m }, Z ij m

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