| Optimal trajectory planning of connected and automated vehicles at on-ramp merging area Z Gao, Z Wu, W Hao, K Long, YJ Byon, K Long IEEE transactions on intelligent transportation systems 23 (8), 12675-12687, 2021 | 50 | 2021 |
| Integrated optimization of traffic signals and vehicle trajectories at intersection with the consideration of safety during signal change K Long, C Ma, Z Jiang, Y Wang, X Yang IEEE Access 8, 170732-170741, 2020 | 16 | 2020 |
| Optimization based trajectory planner for multilane roundabouts with connected automation K Long, Z Gao, Z Jiang, C Ma, J Hu, X Yang Journal of Intelligent Transportation Systems 27 (3), 411-422, 2023 | 10 | 2023 |
| Optimal Controller for a Roundabout with Cooperative Optimization K Long, J Hu, Z Gao, C Ma, X Yang Journal of Transportation Engineering, Part A: Systems 149 (1), 04022118, 2023 | 8 | 2023 |
| A platooning strategy for connected automated vehicles in passing a general conflict area K Long, X Li, Q Li 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 7 | 2022 |
| A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction K Long, Z Sheng, H Shi, X Li, S Chen, S Ahn arXiv preprint arXiv:2309.15284, 2023 | 6* | 2023 |
| Bi-scale car-following model calibration based on corridor-level trajectory K Long, H Shi, Z Chen, Z Liang, X Li, F de Souza Transportation Research Part E: Logistics and Transportation Review 186, 103497, 2024 | 5 | 2024 |
| VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive Controller (MPC) for Autonomous Driving K Long, H Shi, J Liu, X Li arXiv preprint arXiv:2408.04821, 2024 | 2 | 2024 |
| Data-Driven Prediction Method for Truck Fuel Consumption Based on Car Networking K Long, G Wang, Z Xu, X Yang CICTP 2020, 638-650, 2020 | 2 | 2020 |
| Traffic oscillation mitigation with physics-enhanced residual learning (PERL)-based predictive control K Long, Z Liang, H Shi, L Shi, S Chen, X Li Communications in Transportation Research 4, 100154, 2024 | 1 | 2024 |
| Physics-informed neural network for cross-dynamics vehicle trajectory stitching K Long, X Shi, X Li Transportation Research Part E: Logistics and Transportation Review 192, 103799, 2024 | 1 | 2024 |
| Physics Enhanced Residual Policy Learning (PERPL) for safety cruising in mixed traffic platooning under actuator and communication delay K Long, H Shi, Y Zhou, X Li arXiv preprint arXiv:2409.15595, 2024 | 1 | 2024 |
| Modular Vehicle Routing Problem: Applications in Logistics H Zhou, Y Li, C Ma, K Long, X Li arXiv preprint arXiv:2409.01518, 2024 | 1 | 2024 |
| Online Adaptive Platoon Control for Connected and Automated Vehicles via Physics Enhanced Residual Learning P Zhang, H Huang, H Zhou, H Shi, K Long, X Li arXiv preprint arXiv:2412.20680, 2024 | | 2024 |
| FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction J You, R Gan, W Tang, Z Huang, J Liu, Z Jiang, H Shi, K Wu, K Long, S Fu, ... arXiv preprint arXiv:2411.16747, 2024 | | 2024 |
| Trajectory-based Performance Evaluation of Production Automated Vehicles C Ma, X Li, K Ma, P Zhang, K Long, S Chen IEEE, 2024 | | 2024 |
| Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction J You, H Shi, K Wu, K Long, S Fu, S Chen, B Ran arXiv preprint arXiv:2406.11941, 2024 | | 2024 |
| Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control H Zhou, H Huang, P Zhang, H Shi, K Long, X Li arXiv preprint arXiv:2402.11468, 2024 | | 2024 |
| A Physics Enhanced Residual Learning (PERL) Framework for Autonomous Vehicle K Long The University of Wisconsin-Madison, 2024 | | 2024 |
| Network Control in Realistic Settings with Heterogeneous Vehicles K Long, X Li, Q Li University of South Florida. National Institute for Congestion Reduction, 2023 | | 2023 |
Haotian ShiResearch Associate at University of Wisconsin-MadisonVerified email at wisc.edu