| Can automated driving prevent crashes with distracted Pedestrians? An exploration of motion planning at unsignalized Mid-block crosswalks H Zhu, T Han, WKM Alhajyaseen, M Iryo-Asano, H Nakamura Accident Analysis & Prevention 173, 106711, 2022 | 12 | 2022 |
| Large-scale traffic data imputation using matrix completion on graphs T Han, K Wada, T Oguchi 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2252-2258, 2019 | 6 | 2019 |
| A study on possibility of predictive deep reinforcement learners for isolated intersection signal control T HAN, M ITO, K SHIRAHATA, T OGUCHI SEISAN KENKYU 73 (2), 107-112, 2021 | 5 | 2021 |
| A plug-in memory network for trip purpose classification S Lyu, T Han, Y Nishiyama, K Sezaki, T Kusakabe Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 3 | 2022 |
| Short-term travel speed prediction for urban expressways using convolutional neural network and tensor decomposition T Han, K Tang, T Oguchi Transportation Research Procedia 48, 962-974, 2020 | 3 | 2020 |
| A dual-flow attentive network with feature crossing for chained trip purpose inference S Lyu, T Han, P Li, X Luo, T Kusakabe IEEE Transactions on Intelligent Transportation Systems 24 (1), 631-644, 2022 | 1 | 2022 |
| WaveLearner: A Knowledge-Combined Reinforcement Learning to Understand Coordinated Traffic Signal Control along Urban Arteries T Han, S Lyu, T Oguchi 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 1 | 2022 |
| QueueLearner: A Knowledge-Combined Reinforcement Learning to Understand Queuing Evolution in Isolated Traffic Signal Control T Han, T Oguchi, S Lyu 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | | 2022 |
