TTI’s Travel Survey and Passive Data research team are leaders in the integration of passive data from GPS connected vehicle data and Location Based Services (LBS) data with transportation planning practices. The team’s efforts focus on data fusion of these data sets with traditional survey and aggregate data sources. Increasingly machine learning methods are implemented to solve unique problems. These efforts include the integration of passive data with TxDOT’s travel forecasting program, evaluation and guidance of emerging sources for TxDOT, Metropolitan Planning Organizations (MPOs), Arizona Department of Transportation (AZDOT) and other state DOTs, Federal Highway Administration (FHWA), and the Bureau of Transportation Statistics (BTS).
The research team includes experts in data engineering, cloud computing, database and management, data security, and distributed processing. The research team also includes domain experts in GPS, LBS, and Freight data.