Publications

 

  1. Shang, M., Wang, S., & Stern, R. (2024). A Two-Condition Continuous Asymmetric Car-Following Model for Adaptive Cruise Control Vehicles. IEEE Transactions on Intelligent Vehicles, in press. https://doi.org/10.1109/TIV.2024.3349517

  2. Tao, T., Lindsey, G., Stern, R., & Levin, M. (2024). The use of crowdsourced mobile data in estimating pedestrian and bicycle traffic: A systematic review. Journal of Transport and Land Use, 17(1). https://doi.org/10.5198/jtlu.2024.2315 

  3. Wang, S., Shang, M., Levin, M. W., & Stern, R. (2023). A general approach to smoothing nonlinear mixed traffic via control of autonomous vehicles. Transportation Research Part C: Emerging Technologies, 146, 103967. https://www.sciencedirect.com/science/article/pii/S0968090X22003801

  4. Li, Z., Levin, M. W., Qu, X., & Stern, R. (2023). A Network Traffic Model for the Control of Autonomous Vehicles Acting as Moving Bottlenecks. IEEE Transactions on Intelligent Transportation Systems. https://ieeexplore.ieee.org/abstract/document/10127607

  5. 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, 104119. https://www.sciencedirect.com/science/article/pii/S0968090X23001080

  6. Wang, S., Levin, M. W., & Stern, R. (2023). Optimal feedback control law for automated vehicles in the presence of cyberattacks: A min--max approach. Transportation Research Part C: Emerging Technologies, 153, 104204. https://www.sciencedirect.com/science/article/pii/S0968090X23001936

  7. Li, T., & Stern, R. (2023). Car-Following-Response Based Vehicle Classification via Deep Learning. ACM J. Auton. Transport. Syst..  doi: 10.1145/3603369 

  8. Shang, M., Rosenblad, B., & Stern, R. (2022). A Novel Asymmetric Car Following Model for Driver-Assist Enabled Vehicle Dynamics. IEEE Transactions on Intelligent Transportation Systems, 23(9), 15696-15706. https://ieeexplore.ieee.org/abstract/document/9700779/citations?tabFilter=papers#citations

  9. Liard, T., Stern, R., & Delle Monache, M. L. (2022). A PDE-ODE model for traffic control with autonomous vehicles. Networks and Heterogeneous Media (in press). 

  10. Li, T., Qi, G.-J., & Stern, R. (2022). Taxi Utilization Rate Maximization by Dynamic Demand Prediction: A Case Study in the City of Chicago. Transportation Research Record, 2676(4), 367--379. https://journals.sagepub.com/doi/full/10.1177/03611981211059769

  11. 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. https://ascelibrary.org/doi/abs/10.1061/JTEPBS.0000475

  12. Vrabac, D., Shang, M., Butler, B., Pham, J., Stern, R., & Par\'e, Philip E (2021). Capturing the Effects of Transportation on the Spread of COVID-19 with a Multi-Networked SEIR Model. IEEE Control Systems Letters. https://ieeexplore.ieee.org/abstract/document/9319714/?casa_token=rZz9l65MGz4AAAAA:ysJgdaxDm1Tu_24GXT4LiCO4tbrVnQUbvOzt5TmAfU-r-t5eeSXY7ItiR3OGJAT9nhJVzV25uHU

  13. Davis, B., Jennings, G., Pothast, T., Gerostathopoulos, I., Pournaras, E., & Stern, R. (2021). Decentralized Optimization of Vehicle Route Planning-A Cross-City Comparative Study. IEEE Internet Computing. https://ieeexplore.ieee.org/abstract/document/9354553/?casa_token=Nnj1ZuioQCUAAAAA:ImQJBzO-3qDkI55fNdmBPvuHsF0cY4EWfLZsrceBCNCPx1BIzIO0MHxUF09Z55dpcsfxpXkAZ3s

  14. Levin, M. W., Shang, M., & Stern, R. (2021). Effects of short-term travel on COVID-19 spread: A novel SEIR model and case study in Minnesota. Plos one, 16(1), e0245919. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0245919

  15. Richter, M. A., Hess, J., Baur, C., & Stern, R. (2021). Exploring the Financial Implications of Operating a Shared Autonomous Electric Vehicle Fleet in Zurich. Journal of Urban Mobility, 1, 100001. https://www.sciencedirect.com/science/article/pii/S2667091721000017

  16. 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. https://www.sciencedirect.com/science/article/pii/S0968090X2030797X

  17. Wang, S., Stern, R., & Levin, M. W. (2021). Optimal Control of Autonomous Vehicles for Traffic Smoothing. IEEE Transactions on Intelligent Transportation Systems. https://ieeexplore.ieee.org/abstract/document/9485064/?casa_token=GPewqd2_zU0AAAAA:KlvwpmYpffHENd7JDvJ68PkI7pqwYYSCU60gDKAqsTY6rYjj7nOzgNCX_2e4OZAQUNhaakiZTgE

  18. Liu, Z., & Stern, R. (2021). Quantifying the Traffic Impacts of the COVID-19 Shutdown. Journal of Transportation Engineering, Part A: Systems, 147(5), 04021014. https://ascelibrary.org/doi/abs/10.1061/JTEPBS.0000527

  19. Gunter, G., Gloudemans, D., Stern, R., McQuade, S., Bhadani, R., Bunting, M., . . . Work, D. (2020). Are commercially implemented adaptive cruise control systems string stable? IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2020.3000682

  20. Liard, T., Stern, R., & Delle Monache, M. L. (2020). Optimal driving strategies for traffic control with autonomous vehicles. IFAC-PapersOnLine, 53(2), 5322--5329. https://www.sciencedirect.com/science/article/pii/S2405896320316177

  21. Gunter, G., Janssen, C., Barbour, W., Stern, R., & Work, D. (2019). Model-based string stability of adaptive cruise control systems using field data. IEEE Transactions on Intelligent Vehicles, 5(1), 90--99. https://doi.org/10.1109/TIV.2019.2955368 

  22. Stern, R. E., Chen, Y., Churchill, M., Wu, F., Delle Monache, M. L., Piccoli, B., . . . 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 

  23. Wu, F., Stern, R. E., Cui, S., Delle Monache, M. L., Bhadani, R., Bunting, M., . . . 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 

  24. Monache, M. L., Liard, T., Piccoli, B., Stern, R., & Work, D. (2019). Traffic reconstruction using autonomous vehicles. SIAM Journal on Applied Mathematics, 79(5), 1748-1767.  doi: 10.1137/18M1217000 

  25. Stern, R. E., Cui, S., Delle Monache, M. L., Bhadani, R., Bunting, M., Churchill, M., . . . Work, D. B. (2018). Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments. Transportation Research Part C: Emerging Technologies, 89, 205-221.  doi: 10.1016/j.trc.2018.02.005 

  26. 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. https://www.sciencedirect.com/science/article/pii/S0951832017301278?casa_token=yaIc7OB5uy8AAAAA:FZRQrJMedcaX7jazjBKIOYxhtND4PD5ECuvr7BBjwh0Emrzi6mN1Y6-05VdXPInxkvmVWtaSx8U