| Integrating public transit signal priority into max-pressure signal control: Methodology and simulation study on a downtown network T Xu, S Barman, MW Levin, R Chen, T Li Transportation Research Part C: Emerging Technologies 138, 103614, 2022 | 30 | 2022 |
| Detecting stealthy cyberattacks on automated vehicles via generative adversarial networks T Li, M Shang, S Wang, M Filippelli, R Stern 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 16 | 2022 |
| Taxi utilization rate maximization by dynamic demand prediction: A case study in the city of chicago T Li, GJ Qi, R Stern Transportation Research Record 2676 (4), 367-379, 2022 | 9 | 2022 |
| Classification of adaptive cruise control vehicle type based on car following trajectories T Li, R Stern 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 6 | 2021 |
| Exploring energy impacts of cyberattacks on adaptive cruise control vehicles T Li, B Rosenblad, S Wang, M Shang, R Stern 2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023 | 4 | 2023 |
| “Centralized” Taxi Services in Big Metropolitan Areas: Evidenced by Chicago Data T Li, X Wu, X Ban, Y Wang International Conference on Transportation and Development 2020, 287-299, 2020 | 4 | 2020 |
| Robustness of vehicle identification via trajectory dynamics to noisy measurements and malicious attacks T Li, R Stern 2022 2nd Workshop on Data-Driven and Intelligent Cyber-Physical Systems for …, 2022 | 3 | 2022 |
| Car-following-response Based Vehicle Classification via Deep Learning T Li, R Stern ACM Journal on Autonomous Transportation Systems, 2023 | 2 | 2023 |
| Assessing the Impact of Disruptive Events on Urban Mobility: A Case Study of Chicago Taxis during COVID-19 T Li, X Iogansen, R Stern Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 141-145, 2023 | 1 | 2023 |
| Naturalistic open-source pedestrian-driver yielding dataset collected in Minnesota R Stern, T Li https://conservancy.umn.edu/handle/11299/254556, 2023 | 1 | 2023 |
| Leveraging video data to better understand driver-pedestrian interactions in a smart city environment T Li, J Cullom, R Stern Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical …, 2021 | 1 | 2021 |
| The conceptual discussion of the long-distance public passenger transportation system T Li, L Zhou, W Du, Z Sun, N Zhang 2017 4th International Conference on Transportation Information and Safety …, 2017 | 1 | 2017 |
| Understanding driver-pedestrian interactions to predict driver yielding: naturalistic open-source dataset collected in Minnesota T Li, J Klavins, T Xu, NM Zafri, R Stern arXiv preprint arXiv:2312.15113, 2023 | | 2023 |
| RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality T Li, A Halatsis, R Stern arXiv preprint arXiv:2312.07003, 2023 | | 2023 |
| Detecting stealthy cyberattacks on adaptive cruise control vehicles: A machine learning approach T Li, M Shang, S Wang, R Stern arXiv preprint arXiv:2310.17091, 2023 | | 2023 |
| Assessing the Energy Impacts of Cyberattacks on Low-Level Automated Vehicles R Stern, T Li, B Rosenblad, M Shang Center for Transportation Studies, University of Minnesota, 2023 | | 2023 |
Raphael SternAssistant Professor, University of MinnesotaVerified email at umn.edu
