Abstract: This study analyzes critical freight corridors in Kentucky using a traffic assignment framework based on county-to-county freight flows. FAF 2022 population and employment-based allocation factors were used to reproduce county-to-county freight tonnage flows from zone-level tonnage data as a consistency check on the disaggregation procedure. The reproduced flows matched the FAF-provided county flows, indicating that the same method can be reliably applied for future custom spatial disaggregation into smaller geographic areas. A K-shortest path (KSP) logit-based assignment method was then developed in Python. The study network was built as a directed graph using FAF-provided nodes and links. Up to three minimally overlapping shortest paths were identified for each county OD pair, and flows were probabilistically allocated among these paths based on travel time, allowing freight to be distributed more realistically than under a single-path assignment approach. The assignment was extended to the full U.S. county-level network so that both in-state and out-of-state freight movements contributing to Kentucky corridors were captured. This provides a more complete representation of freight movement in Kentucky and helps identify critical corridors, including rural links that are important to statewide and interstate goods movement.