Abstract: This study analyzes freight network resilience using telematics data from the EROAD system during three major disruptions: the 2020 Oregon forest fires, Hurricane Florence in 2018, and the 2024 I-55 Mississippi River Bridge closure. By examining freight movement before, during, and after each event, it identifies how networks respond, adapt routes, and recover. The EROAD dataset segmented freight data into time periods, revealing shifts in route usage and congestion. GIS analysis visualized traffic density and bottlenecks, highlighting impacts on freight movement. The findings emphasize network resilience, disruption effects on infrastructure, and supply chain efficiency, offering performance measures for agencies to enhance resilience and guide future studies. The results aim to inform infrastructure investments, disaster preparedness, and freight system resilience.

Md Moshiur Rahman is a graduate researcher in transportation engineering at Oregon State University, working with Dr. Salvador Hernandez. His research focuses on traffic safety, freight systems, and data-driven modeling, with an emphasis on integrating telematics and crash data to better understand driver behavior and risk. His recent work uses telematics-based behavioral indicators to assess freight system resilience, identify near-miss events, and evaluate safety in dynamic operating environments. He applies advanced econometric and statistical methods, including random parameter and spatio-temporal models, to uncover complex patterns in transportation data. He has contributed to multiple Oregon Department of Transportation–funded projects, covering distracted driving and injury severity analysis. His broader interest lies in linking behavioral data with infrastructure-level outcomes to support more resilient transportation systems.