Innovations in Freight Demand Modeling and Data Improvement (2014)
Chapter: Design of an Agent-Based Computational Economics Approach to Forecasting Future Freight Flows for the Chicago Region
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Innovative Tour-Based Truck Travel Model Using Truck GPS Data
Next Chapter: Florida Multimodal Statewide Freight Model: A Model Incorporating Supply-Chain Methods and Providing Linkages to Regional Tour-Based Truck Models
Suggested Citation:
"Design of an Agent-Based Computational Economics Approach to Forecasting Future Freight Flows for the Chicago Region." National Academies of Sciences, Engineering, and Medicine. 2014. Innovations in Freight Demand Modeling and Data Improvement. Washington, DC: The National Academies Press.
doi: 10.17226/22336.
Suggested Citation:
"Design of an Agent-Based Computational Economics Approach to Forecasting Future Freight Flows for the Chicago Region." National Academies of Sciences, Engineering, and Medicine. 2014. Innovations in Freight Demand Modeling and Data Improvement. Washington, DC: The National Academies Press.
doi: 10.17226/22336.
Suggested Citation:
"Design of an Agent-Based Computational Economics Approach to Forecasting Future Freight Flows for the Chicago Region." National Academies of Sciences, Engineering, and Medicine. 2014. Innovations in Freight Demand Modeling and Data Improvement. Washington, DC: The National Academies Press.
doi: 10.17226/22336.
Suggested Citation:
"Design of an Agent-Based Computational Economics Approach to Forecasting Future Freight Flows for the Chicago Region." National Academies of Sciences, Engineering, and Medicine. 2014. Innovations in Freight Demand Modeling and Data Improvement. Washington, DC: The National Academies Press.
doi: 10.17226/22336.
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