| Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach XM Chen, M Zahiri, S Zhang Transportation Research Part C: Emerging Technologies 76, 51-70, 2017 | 268 | 2017 |
| Network‐wide traffic speed forecasting: 3D convolutional neural network with ensemble empirical mode decomposition S Zhang, L Zhou, X Chen, L Zhang, L Li, M Li Computer‐Aided Civil and Infrastructure Engineering 35 (10), 1132-1147, 2020 | 55 | 2020 |
| Multi-step-ahead traffic speed forecasting using multi-output gradient boosting regression tree X Zhan, S Zhang, WY Szeto, X Chen Journal of Intelligent Transportation Systems 24 (2), 125-141, 2020 | 55 | 2020 |
| PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data J Ke, S Zhang, H Yang, X Chen Transportmetrica A: transport science 15 (2), 872-895, 2019 | 46 | 2019 |
| Multi‐model ensemble for short‐term traffic flow prediction under normal and abnormal conditions X Chen, S Zhang, L Li IET Intelligent Transport Systems 13 (2), 260-268, 2019 | 37 | 2019 |
| Adaptive rolling smoothing with heterogeneous data for traffic state estimation and prediction X Chen, S Zhang, L Li, L Li IEEE transactions on intelligent transportation systems 20 (4), 1247-1258, 2018 | 30 | 2018 |
| Spatial–temporal deep tensor neural networks for large-scale urban network speed prediction L Zhou, S Zhang, J Yu, X Chen IEEE Transactions on Intelligent Transportation Systems 21 (9), 3718-3729, 2019 | 25 | 2019 |
| Traffic inflow and outflow forecasting by modeling intra-and inter-relationship between flows Y Zhao, Y Lin, Y Zhang, H Wen, Y Liu, H Wu, Z Wu, S Zhang, H Wan IEEE Transactions on Intelligent Transportation Systems 23 (11), 20202-20216, 2022 | 10 | 2022 |
| 基于手机信令数据的居民出行空间效应 倪玲霖， 张帅超， 陈喜群 浙江大学学报 (工学版) 51 (5), 887-895, 2017 | 5 | 2017 |
| Weakly supervised setting for learning concept prerequisite relations using multi-head attention variational graph auto-encoders J Zhang, H Lan, X Yang, S Zhang, W Song, Z Peng Knowledge-Based Systems 247, 108689, 2022 | 4 | 2022 |
| Evaluation method and influence factors of network travel time reliability XQ Chen, JK Liu, HQ Hu, EJ Cui, SC Zhang Journal of Traffic and Transportation Engineering 18 (4), 132-142, 2018 | 4 | 2018 |
| Cellular signaling data driven simulation-based dynamic traffic assignment and its applications to a real-world road network XM Chen, S Zhang, M Zahiri 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 4 | 2016 |
| Gradient boosting regression tree for traffic flow prediction considering temporal and spatial correlations S Zhang, X Zhan, X Chen 17th COTA International Conference of Transportation Professionals, 2444-2454, 2017 | 3 | 2017 |
| Missing information imputation for traffic incident likelihood prediction for urban expressways J Ke, S Zhang, XM Chen Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 3 | 2017 |
| 网络行程时间可靠性评价方法与影响因素 陈喜群， 刘教坤， 胡浩强， 崔尔佳， 张帅超 交通运输工程学报 18 (4), 132-142, 2018 | 2 | 2018 |
| 基于移动检测数据的宏观基本图特征 张帅超， 朱谊， 陈喜群 浙江大学学报: 工学版 52 (7), 1338-1344, 2018 | 1 | 2018 |
| 基于路网结构的城市交通事故短期风险预测方法 张延孔， 卢家品， 张帅超， 姬晓鹏， 罗月童， 陈为 智能系统学报 15 (4), 663-671, 2020 | | 2020 |
| Rolling Horizon Optimization for Traffic State Estimation and Prediction S Zhang, XM Chen Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | | 2017 |
