freight mode choice modeling: applications to freight transportation and logistics
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Freight Mode Choice Modeling: Applications to Freight Transportation and Logistics. Investigators: Kouros Mohammadian and Amir Samimi , CME Primary Grant Support: Illinois Department of Transportation. - PowerPoint PPT PresentationTRANSCRIPT
Problem Statement and Motivation
Key Achievements and Future GoalsTechnical Approach
Freight Mode Choice Modeling: Applications to Freight Transportation and Logistics
Investigators: Kouros Mohammadian and Amir Samimi, CMEPrimary Grant Support: Illinois Department of Transportation
• An efficient freight transportation system could have considerable positive impacts on the economy.
• Freight models and related public policy tools are far behind the logistics and technological advances.
• Freight transport modeling frameworks should be revised in a way that captures the basis of decision making process across the supply chain.
• Developing a behavior-based model is in the design process to improve freight movement analysis.
• The framework relies mostly on the available datasets, however because of the deficiency of the authentic public data, a well-developed survey could boost the model accuracy significantly.
• Firms, as the real decision making units, are making the decisions in the model.
• Data simulation techniques should be improved.• Model results should be validated with the real observations.
• Simulate the commodity flow between each pair of firms using the Freight Analysis Framework and County Business Patterns 2005 data from census.
• Do a survey to model the logistic cost of the shipment. The survey should have data on individual shipments; freight terminals, consolidation and distribution centers, ports and airports; and also transport and logistics costs.
• Determine the shipment size for each firm pair by minimizing the total logistic costs for each commodity group.
• Assign the commodity flow to the whole network.