Assistant Professor
Contact
164 Civil Engineering Building
500 Pillsbury Drive SE
Minneapolis, MN 55455
Affiliations
Assistant Professor
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.
Shang, M., Wang, S. & Stern, R.E. (2023). Extending ramp metering control to mixed autonomy traffic flow with varying degrees of automation. Transportation Research Part C: Emerging Technologies. 151, [104204]. doi: 10.1016/j.trc.2023.104119
De Souza, F. & Stern, R. (2021). Calibrating microscopic car-following models for adaptive cruise control vehicles: Multiobjective approach. Journal of Transportation Engineering Part A: Systems. 147(1), [04020150]. doi: 10.1061/JTEPBS.0000475
Vrabac, D., Shang, M., Butler, B., Pham, J., Stern, R. & Pare, P. E. (2021). Capturing the effects of transportation on the spread of COVID-19 with a multi-networked SEIR model. IEEE Control Systems Letters. doi: 10.1109/LCSYS.2021.3050954
Shang, M. & Stern, R. E. (2021). Impacts of commercially available adaptive cruise control vehicles on highway stability and throughput. Transportation Research Part C: Emerging Technologies. 122, [102897]. doi: 10.1016/j.trc.2020.102897
Liu, Z. & Stern, R. (2021). Quantifying the traffic impacts of the COVID-19 shutdown. Journal of Transportation Engineering Part A: Systems. 147(5), [04021014]. doi: 10.1061/JTEPBS.0000527
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
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.
Stern R. E., Song J., & Work D. B. (2017). “Accelerated Monte Carlo system reliability analysis through machine-learning-based surrogate models of network connectivity.” Reliability Engineering & System Safety, 164, 1-9.
Stern R., Cui S., Delle Monache M. L., Bhadani R., Bunting M., Churchill M., Hamilton N., Haulcy R., Pohlmann H., Wu F., Piccoli B., Seibold B., Sprinkle J., Work D. (2017). “Dissipation of stop-and-go traffic waves via control of a single autonomous vehicle.” Transportation Research Part C: Emerging Technologies, 89, 205-221.