James Hubbard

TTI Assistant Research Scientist

Education

• M.S., Data Analytics, Johns Hopkins University, 2020
• B.S., Marketing, Old Dominion University, 2011

Short Biography

James Hubbard has diverse experience in the fields of data analytics and data visualization. In 2012, he co-founded a start-up company that developed a self-powered vibration sensor that monitored the health of industrial machinery. He was part of a team that developed an analytics package using the data from the sensor that could predict and warn customers of any potential issues and/or failure modes. This package also provided visualizations, infographics and recommendations for solutions to those issues. Since joining TTI in 2018, he has performed a comparison of Bluetooth traffic data and the National Performance Management Research Data Set for the purpose of historical operational analysis. This took a look at data sets on I-35 in central Texas and a 24-hour daily review of corridor performance across 200 directional miles. Using the 24-hour daily review he developed data models that could predict future daily maximum travel times on the corridor. He also developed various visualizations that captured traffic delays and maximum travel times across the corridor on I-35. He has also applied Travel Time Reliability metrics on datasets for the City of Coppell, TX to evaluate the impact of an 18-month reconstruction effort.