Bridge Weigh-in-Motion systems can be effective in monitoring overweight traffic; however, with systems that utilize localized strain, that effectiveness is reduced in structures with high dynamic characteristics in the same frequency range as axle information. While this is widely acknowledged, dynamic effects coupled with sub-optimal sensor placement and driving behaviour, especially with multiple vehicles on the structure present a significant challenge to cluster data for classification. This paper examines signal characteristics of localized strain measurements from an operational BWIM system installed on a two-lane, single span, slab-on-girder, concrete highway bridge servicing an arterial class roadway. A large number of loading events were extracted from continuous data and verified using photographic ground truth. The events were categorized and labelled and peak amplitude values for localized strain were compared across FAD sensors. Feasibility of detecting single and multi-vehicle events and predicting lane position is discussed.