Abstract
Modeling external and empty freight trips helps in better planning and scheduling of transportation operations. This can lead to more effective route planning, load consolidation, and overall optimization of transportation networks. In this study external and empty truck trips modeled using Freight Analysis Framework (FAF) and Highway Performance Measurement System (HPMS) data with generating trip outputs from POLARIS agent-based simulation framework. The model then applied to the Austin metropolitan area, Texas, USA. The model estimated single and multi-unit AADT values with 91% and 93.4% accuracy compared with the HPMS volume, respectively. The estimated error – 9% and 6.6% - is due to the shortest path routing that may prefer faster routes on certain highways. Truck trips on large volume links tend to be overestimated while short links underestimate truck trips to some extent.
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