The U.S. Environmental Protection Agency’s (EPA) newest emissions model, the Motor Vehicle Emission Simulator (MOVES), utilizes a disaggregate approach that enables the users of the model to create and use local drive schedules to perform an accurate analysis. The drive cycles previously used for the MOBILE 6.2 model were based on static sources that defaulted to national averages. A research project conducted on behalf of the Texas Department of Transportation (TxDOT) sought to create localized schedules using second-by-second speed and location data from varying vehicle classifications across the five main metropolitan regions of Texas: Dallas/Fort Worth, Houston, San Antonio, Austin and El Paso. An off-the-shelf GPS assembly was modified for use in this study to autonomously collect data from drivers during two-week intervals that required no interaction from drivers and did not necessitate any electrical connection to the vehicle (such as an on-board device, or OBD). Procedures were developed to recruit potential volunteers who represented drivers of both personal vehicles and corporate fleets, and to standardize the process of acquiring and assessing data captured on the GPS devices. A map-matching algorithm was created using GIS-based software to associate trip segments with the roadway network and surrounding land use classification (urban or rural). Drive cycles were disaggregated into bins based on the Vehicle Specific Power (VSP), which is a comprehensive measure that incorporates speed, acceleration, road grade, and road load. The end result of the research effort was to incorporate data collected into MOVES and to compare the localized drive cycles with the national averages.