Corey Harper

Corey Harper is Presidential Post-Doctoral Fellow in the Civil and Environmental Engineering (CEE) Department at Carnegie Mellon University (CMU). In Fall 2021, he will begin his appointment as an Assistant Professor of Civil and Environmental Engineering and Heinz College of Information Systems and Public Policy.

He directs the Future Mobility Systems Lab at CMU. Corey’s research interest lies in applying modeling and simulation tools (e.g., agent-based models or regional traffic models) and multi- source data analytics to assess the equity, environmental, congestion, and policy implications of emerging technologies on the transportation system.

In the past, Corey’s research has focused on climate resilient transportation systems and automation in transportation. Here he has used cost-benefit analysis, modeling and simulation, and machine learning to ask questions such as “how does rain impact congestion on the transportation network” and “how could robocars impact parking revenues in our central business districts.” He is also the recipient of the Elsevier ATLAS Best Paper Award for his work looking at the equity impacts of automation. In 2016, he was invited to become a Young Member on the Transportation Research Board Standing Committee for Vehicle-Highway Automation.

Corey received his BS in 2013 from Morgan State University (Civil Engineering) and completed MS and PhD in 2014 and 2017, respectively, from CMU CEE. Before joining the faculty at CMU he was a consultant at Booz Allen Hamilton, supporting clients on technical and policy issues related to cyber-physical systems, especially helping the United States Department of Transportation with the integration of connected and automated vehicles.

Education

• PhD Civil and Environmental Engineering, Carnegie Mellon University (2017)
• MS Civil and Environmental Engineering, Carnegie Mellon University (2014)
• BS Civil Engineering, Morgan State University (2013)

Selected Publications

• Harper, Corey D., Sean Qian, and Constantine Samaras. "Improving Short-Term Travel Speed Prediction with High-Resolution Spatial and Temporal Rainfall Data." Journal of Transportation Engineering, Part A: Systems 147.3 (2021): 04021004.
• Grahn, R., Harper, C. D., Hendrickson, C., Qian, Z., & Matthews, H. S. (2019). Socioeconomic and usage characteristics of transportation network company (TNC) riders. Transportation, 1-21.
• Khan, A., Harper, C. D., Hendrickson, C. T., & Samaras, C. (2019). Net-societal and net-private benefits of some existing vehicle crash avoidance technologies. Accident Analysis & Prevention, 125, 207-216.
• Harper, C. D., Hendrickson, C. T., & Samaras, C. (2018). Exploring the economic, environmental, and travel implications of changes in parking choices due to driverless vehicles: An agent-based simulation approach. Journal of Urban Planning and Development, 144(4), 04018043.
• Harper, C. D., Hendrickson, C. T., Mangones, S., & Samaras, C. (2016). Estimating potential increases in travel with autonomous vehicles for the non-driving, elderly and people with travel-restrictive medical conditions. Transportation research part C: Emerging Technologies, 72, 1-9.
• Harper, C. D., Hendrickson, C. T., & Samaras, C. (2016). Cost and benefit estimates of partially-automated vehicle collision avoidance technologies. Accident Analysis & Prevention, 95, 104-115.