Raphael Stern

Raphael Stern

Raphael Stern

Assistant Professor, Department of Civil, Environmental, and Geo- Engineering

Contact

Civil Engineering Building
Room 164
500 Pillsbury Drive Se
Minneapolis, MN 55455
Education
  • Ph.D., 2018, Civil and Environmental Engineering, University of Illinois at Urbana-Champaign
  • M.S., 2015, Civil and Environmental Engineering, University of Illinois at Urbana-Champaign
  • B.S., 2013, Civil and Environmental Engineering, University of Illinois at Urbana-Champaign
Professional Background
  • Visiting Scholar, Institute for Software Integrated Systems, Vanderbilt University, Nashville, TN (2018)
  • Data Science for Social Good Fellow, University of Chicago, Chicago, IL (2014)
Research Interests

Stern Research Group | Experts@Minnesota | Google Scholar

My research interests include vehicle automation and transportation cyber-physical systems. Specifically, I am interested in the impact of autonomous (or semi-autonomous) vehicles on the overall traffic flow and dynamics at low market penetration rates. Additionally, I am interested in data science and machine learning approaches to transportation data analysis.

Selected Publications

Gunter, G., Janssen, C., Barbour, W., Stern, R. E., Work, D. B. (2020). Model-Based String Stability of Adaptive Cruise Control Systems Using Field Data. IEEE Transactions on Intelligent Vehicles. (5)1, 90-99. [8910461]. doi: 10.1109/TIV.2019.2955368

Delle Monache, M. L., Liard, T., Rat, A., Stern, R., Bhadani, R., Seibold, B., Sprinkle, J., Work, D. B., Piccoli, B. (2019). Feedback Control Algorithms for the Dissipation of Traffic Waves with Autonomous Vehicles. In Springer Optimization and Its Applications (pp. 275-299). (Springer Optimization and Its Applications; vol. 150) Springer International Publishing. doi: 10.1007/978-3-030-25446-9_12

Stern, R. E., Chen, Y., Churchill, M., Wu, F., Delle Monache, M. L., Piccoli, B., Seibold, B., Sprinkle, J., Work, D. B. (2019). Quantifying air quality benefits resulting from few autonomous vehicles stabilizing traffic. Transportation Research Part D: Transport and Environment, 67, 351-365. doi: 10.1016/j.trd.2018.12.008

Wu, F., Stern, R. E., Cui, S., Delle Monache, M. L., Bhadani, R., Bunting, M., Churchill, M., Hamilton, N., Haulcy, R., Piccoli, B., Seibold, B., Sprinkle, J. Work, D. B. (2019). Tracking vehicle trajectories and fuel rates in phantom traffic jams: Methodology and data. Transportation Research Part C: Emerging Technologies. 99, 82-109. doi: 10.1016/j.trc.2018.12.012

R. E. Stern, Y. Chen, M. Churchill, F. Wu, M. L. Delle Monache, B. Piccoli, B. Seibold, J. Sprinkle, D. B. Work. (2019). "Quantifying air quality benefits resulting from few autonomous vehicles stabilizing traffic." Transportation Research Part D: Transport and Environment, 67, 351-365.

R. E. Stern, J. Song, D. B. Work. (2017). “Accelerated Monte Carlo system reliability analysis through machine-learning-based surrogate models of network connectivity.” Reliability Engineering & System Safety, 164, 1-9.

R. Stern, S. Cui, M. L. Delle Monache, R. Bhadani, M. Bunting, M. Churchill, N. Hamilton, R. Haulcy, H. Pohlmann, F. Wu, B. Piccoli, B. Seibold, J. Sprinkle, D. Work. (2017). “Dissipation of stop-and-go traffic waves via control of a single autonomous vehicle.” Transportation Research Part C: Emerging Technologies, 89, 205-221.