This research uses axle configuration, truck body type, and payload data to benchmark truck traffic trends on highway networks. Planning and designing the highway infrastructure serving freight-intensive developments (e.g., inland ports, ports, industrial parks) is complex because future freight demand is difficult to predict. This thesis addresses this difficulty by establishing benchmark relationships between axle configuration, truck body type, and payload for trucks operating on highways serving CentrePort Canada, an inland port being developed in Winnipeg, Manitoba, Canada. Based on the analysis of an aggregated data set of over 6500 records, the research reveals the predominant axle configurations and truck body types utilized by carriers in Manitoba and characterizes the loading patterns of these vehicles by applying a Gaussian Mixture Model. The findings contribute to an improved understanding of the axle configuration, truck body type, and payload linkages that are evident within a diverse trucking fleet.