| Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles S Chen, J Dong, P Ha, Y Li, S Labi Computer‐Aided Civil and Infrastructure Engineering 36 (7), 838-857, 2021 | 202 | 2021 |
| Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment J Dong, S Chen, Y Li, R Du, A Steinfeld, S Labi Transportation Research Part C: Emerging Technologies 128, 103192, 2021 | 78 | 2021 |
| Leveraging the capabilities of connected and autonomous vehicles and multi-agent reinforcement learning to mitigate highway bottleneck congestion PYJ Ha, S Chen, J Dong, R Du, Y Li, S Labi arXiv preprint arXiv:2010.05436, 2020 | 61 | 2020 |
| Vehicle connectivity and automation: A sibling relationship P Ha, S Chen, R Du, J Dong, Y Li, S Labi Frontiers in Built Environment 6, 590036, 2020 | 58 | 2020 |
| A DRL-based multiagent cooperative control framework for CAV networks: A graphic convolution Q network J Dong, S Chen, PYJ Ha, Y Li, S Labi arXiv preprint arXiv:2010.05437, 2020 | 55 | 2020 |
| Paving the way for autonomous Vehicles: Understanding autonomous vehicle adoption and vehicle fuel choice under user heterogeneity Y Guo, D Souders, S Labi, S Peeta, I Benedyk, Y Li Transportation Research Part A: Policy and Practice 154, 364-398, 2021 | 42 | 2021 |
| A cooperative control framework for CAV lane change in a mixed traffic environment R Du, S Chen, Y Li, J Dong, PYJ Ha, S Labi arXiv preprint arXiv:2010.05439, 2020 | 37 | 2020 |
| Leveraging vehicle connectivity and autonomy to stabilize flow in mixed traffic conditions: accounting for human-driven vehicle driver behavioral heterogeneity and perception … Y Li, S Chen, PYJ Ha, J Dong, A Steinfeld, S Labi arXiv preprint arXiv:2008.04351, 2020 | 37 | 2020 |
| Spatio-weighted information fusion and DRL-based control for connected autonomous vehicles J Dong, S Chen, Y Li, PYJ Ha, R Du, A Steinfeld, S Labi 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 32 | 2020 |
| Using empirical trajectory data to design connected autonomous vehicle controllers for traffic stabilization Y Li, S Chen, R Du, PYJ Ha, J Dong, S Labi arXiv preprint arXiv:2010.05440, 2020 | 28 | 2020 |
| A cooperative crash avoidance framework for autonomous vehicle under collision-imminent situations in mixed traffic stream R Du, S Chen, Y Li, PYJ Ha, J Dong, PC Anastasopoulos, S Labi 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 23 | 2021 |
| Facilitating connected autonomous vehicle operations using space-weighted information fusion and deep reinforcement learning based control J Dong, S Chen, Y Li, R Du, A Steinfeld, S Labi arXiv preprint arXiv:2009.14665, 2020 | 22 | 2020 |
| A framework for lane-change maneuvers of connected autonomous vehicles in a mixed-traffic environment R Du, S Chen, Y Li, M Alinizzi, S Labi Electronics 11 (9), 1350, 2022 | 10 | 2022 |
| Impacts of Bus Stops on Adjacent Non-Motorized Lanes Capacity J Yu, Y Li, L Wu, Z Sun, Z Ke 18th COTA International Conference of Transportation Professionals, 977-987, 2018 | 3 | 2018 |
| Tradeoffs between safe/comfortable headways versus mobility-enhancing headways in an automated driving environment: preliminary insights using a driving simulator experiment Y Li, T Chen, S Chen, S Labi Frontiers in engineering and built environment 1 (2), 173-187, 2021 | 2 | 2021 |
| Using UAVs for vehicle tracking and collision risk assessment at intersections S Zong, S Chen, M Alinizzi, Y Li, S Labi arXiv preprint arXiv:2110.06775, 2021 | 2 | 2021 |
| Reason induced visual attention for explainable autonomous driving S Chen, J Dong, R Du, Y Li, S Labi arXiv preprint arXiv:2110.07380, 2021 | 1 | 2021 |
| Highlighting the Driver’s Responsibilities When Using Conditional Driving Automation: Effects on Take-over Performance and Monitoring S Dustin, S Agrawal, Y Li, S Peeta Proceedings of the 2020 HFES 64th International Annual Meeting 64, 2021 | | 2021 |
| Inflating System Expectations Prior to Sae Level 3 Automated Vehicle Use: Effects on Monitoring Behavior, Resumption of Control, and Attitudes Toward Driving Automation D Souders, S Agrawal, I Benedyk, Y Guo, Y Li, S Peeta Resumption of Control, and Attitudes Toward Driving Automation, 0 | | |
