Abstract: This study investigates the resilience of freight operations during the Durkee Fire in Oregon, using telematics data from heavy commercial vehicles (HCVs) to develop the Speed Consistency Resilience Index (SCRI). The analysis leverages trip-level data, including vehicle speeds, travel times, and distances, to assess performance across three phases of the fire: before, during, and after the event. The research highlights the vulnerability of freight systems to disruptions such as wildfires, which cause delays, rerouting, and increased operational costs, emphasizing the urgent need for methods to quantify resilience in freight networks. The methodology integrates statistical testing and spatial clustering to assess the fire’s impact. Key findings reveal significant disruptions in speed consistency, particularly along I-84, where closures led to sharp declines in resilience, especially in Baker County. In contrast, US-20 remained more stable, offering a viable alternative route with less disruption. The SCRI metric, which quantifies the consistency of truck speeds during disruptions, provided granular insights into spatial and temporal variations in resilience across the region. It offers a novel framework for understanding and improving the resilience of freight operations. These findings have practical implications for logistics operators and policymakers, helping to enhance contingency planning and inform infrastructure resilience strategies.