An accelerated growth in the volume of freight shipped on American highways has led to a significant increase in truck traffic, influencing traffic operations, safety, and the state of repair of highway infrastructure. Traffic congestion in turn has impeded the speed and reliability of freight movement on the highway system. As freight movement continues to grow within and between urban areas, appropriate planning and decision making processes are necessary to mitigate the above-mentioned impacts. However, a main challenge in establishing these processes is the lack of adequate data on freight movements such as detailed origin-destination (OD) data, truck travel times, freight tonnage distribution by OD pairs, transported commodity by OD pairs, and details about truck trip stops and paths. As traditional data sources on freight movement are either inadequate or no longer available, new sources of data must be investigated.