Diesel particulate matter (PM) is a significant contributor to ambient air PM 10 and PM 2.5 particulate levels. In addition, recent literature argues that submicron diesel PM is a pulmonary health hazard. There is difficulty in attributing PM emissions to specific operating modes of a diesel engine, although it is acknowledged that PM production rises dramatically with load and that high PM emissions occur during rapid load increases on turbocharged engines. Snap-acceleration tests generally identify PM associated with rapid transient operating conditions, but not with high load. To quantify the origin of PM during transient engine operation, continuous opacity measurements have been made using a Wager 650CP full flow exhaust opacity meter. Opacity measurements were taken while the vehicles were operated over transient driving cycles on a chassis dynamometer using the West Virginia University (WVU) Transportable Heavy Duty Vehicle Emissions Testing Laboratories. Data were gathered from Detroit Diesel, Cummins, Caterpillar, and Navistar heavy-duty (HD) diesel engines. Driving cycles used were the Central Business District (CBD) cycle, the WVU 5-Peak Truck cycle, the WVU 5-Mile route, and the New IMPLICATIONS Data comparing integrated opacity and integrated PM mass over a transient diesel chassis test cycle have shown a poor correlation between the two measurements. This implies that opacity measurements may not prove to be a precise tool for identifying high PM emitters. Also, in developing models to describe instantaneous mass emissions of PM from a vehicle, it would be unwise to proportion the measured PM mass over the cycle with respect to opacity readings. There is a stronger correlation between CO and PM measurements for the case of a specific vehicle. Therefore, instantaneous CO readings may be used to proportion PM over a cycle to yield an instantaneous PM value. Even though this method may be undesirably inaccurate, it is the only tool presently available to create continuous PM data for inventory modeling using existing databases.