Lane change detection and prediction using real-world connected vehicle data H Guo, M Keyvan-Ekbatani, K Xie Transportation research part C: emerging technologies 142, 103785, 2022 | 27 | 2022 |
Modeling driver’s evasive behavior during safety–critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning H Guo, K Xie, M Keyvan-Ekbatani Accident Analysis & Prevention 186, 107063, 2023 | 21 | 2023 |
An approach to investigate coarse aggregates movement of asphalt mixture based on wheel tracking test W Liu, H Lin, H Guo, H Zhang, S Zhang, Y Mao, H Fu Construction and Building Materials 309, 125161, 2021 | 6 | 2021 |
Lane change detection using naturalistic driving data H Guo, K Xie, M Keyvan-Ekbatani 2021 7th International Conference on Models and Technologies for Intelligent …, 2021 | 6 | 2021 |
Modeling coupled driving behavior during lane change: A multi-agent Transformer reinforcement learning approach H Guo, M Keyvan-Ekbatani, K Xie Transportation Research Part C: Emerging Technologies 165, 104703, 2024 | | 2024 |
On the identification of risky lane changes: 2D time-to-collision and connected vehicle data H Guo, K Xie, M Keyvan-Ekbatani 2023 8th International Conference on Models and Technologies for Intelligent …, 2023 | | 2023 |
A transformer-based learning approach for lane change prediction H Guo, M Keyvan-Ekbatani, K Xie Transportation Research Board, Washington, D.C., 2022 | | 2022 |
透水路面应用问题研究 郭弘宇 华东公路, 75-78, 2017 | | 2017 |