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| Prediction of city-scale dynamic taxi origin-destination flows using a hybrid deep neural network combined with travel time Z Duan, K Zhang, Z Chen, Z Liu, L Tang, Y Yang, Y Ni IEEE Access 7, 127816-127832, 2019 | 43 | 2019 |
| A parallel computing approach to solve traffic assignment using path-based gradient projection algorithm X Chen, Z Liu, K Zhang, Z Wang Transportation Research Part C: Emerging Technologies 120, 102809, 2020 | 40 | 2020 |
| An Alternating Direction Method of Multipliers for Solving User Equilibrium Problem Z Liu, X Chen, J Hu, S Wang, K Zhang, H Zhang European Journal of Operational Research, 2023 | 11 | 2023 |
| An improved parallel block coordinate descent method for the distributed computing of traffic assignment problem Z Wang, K Zhang, X Chen, M Wang, R Liu, Z Liu Transportmetrica A: Transport Science 18 (3), 1376-1400, 2022 | 10 | 2022 |
| Taxi demand prediction based on CNN-LSTM-ResNet hybrid depth learning model D Zong-tao, Z Kai, Y Yun, NI Yuan-yuan, S Bajgain Journal of Transportation Systems Engineering and Information Technology 18 …, 2018 | 10 | 2018 |
| A customized two-stage parallel computing algorithm for solving the combined modal split and traffic assignment problem K Zhang, H Zhang, Q Cheng, X Chen, Z Wang, Z Liu Computers & Operations Research 154, 106193, 2023 | 7 | 2023 |
| 基于深度 CNN-LSTM-ResNet 组合模型的出租车需求预测 段宗涛， 张凯， 杨云， 倪园园 交通运输系统工程与信息 18 (4), 215-223, 2018 | 4 | 2018 |
| An ADMM-based parallel algorithm for solving traffic assignment problem with elastic demand K Zhang, H Zhang, Y Dong, Y Wu, X Chen Communications in Transportation Research 3, 100108, 2023 | 2 | 2023 |
| Integrating alternating direction method of multipliers and bush for solving the traffic assignment problem Z Liu, H Zhang, K Zhang, Z Zhou Transportation Research Part E: Logistics and Transportation Review 177, 103233, 2023 | 2 | 2023 |
| Analysis of urban electric vehicle adoption based on operating costs in urban transportation network J Ma, Y Zhu, D Chen, C Zhang, M Song, H Zhang, J Chen, K Zhang Systems 11 (3), 149, 2023 | 2 | 2023 |
| Urban Traffic Flow Congestion Prediction Based on a Data-Driven Model K Zhang, Z Chu, J Xing, H Zhang, Q Cheng Mathematics 11 (19), 4075, 2023 | 1 | 2023 |
| Fine-Tuning Deep Hybrid Long Short-Term Memory and Restricted Boltzmann Machine Network for Urban Traffic Speed Prediction Y Ni, Z Duan, K Zhang, J Yang, Y Yang 2019 12th International Congress on Image and Signal Processing, BioMedical …, 2019 | | 2019 |
