Innovations in Freight Demand Modeling and Data Improvement (2014) / Chapter Skim
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Pages 59-62
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Statewide Freight Demand Modeling to Support Long-Range Transportation Planning in North Dakota EunSu Lee, North Dakota State University; Alan Dybing, North Dakota State University; Denver Tolliver, North Dakota State University Presentation Notes: Presented by EunSu Lee, North Dakota State University. The model is the third generation of the state model.
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networks, the Freight Analysis Framework (FAF3) network, railroads, waterways, intermodal facilities, and geographical boundaries.
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From page 61... ...
higher classification and a higher speed limit, because the truck drivers are time-sensitive and congestion is an issue in the rural area, due to heavy oil development activity. Trip Assignment and Visualization During the process of the route generation, the researchers collected the road segments using Network Analyst in GIS.
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From page 62... ...
This study could be improved by including oil collection points along pipelines and by including urban traffic models. Smaller units of TAZs such as census blocks or 2-mile-by-2-mile polygons would provide better analysis for rural county roads than using 6-mile-by-6-mile township boundaries.
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