| Yard crane and AGV scheduling in automated container terminal: A multi-robot task allocation framework X Chen, S He, Y Zhang, LC Tong, P Shang, X Zhou Transportation Research Part C: Emerging Technologies 114, 241-271, 2020 | 118 | 2020 |
| Microscopic optimization model and algorithm for integrating train timetabling and track maintenance task scheduling Y Zhang, A D'Ariano, B He, Q Peng Transportation Research Part B: Methodological 127, 237-278, 2019 | 94 | 2019 |
| Solving cyclic train timetabling problem through model reformulation: Extended time-space network construct and Alternating Direction Method of Multipliers methods Y Zhang, Q Peng, Y Yao, X Zhang, X Zhou Transportation Research Part B: Methodological 128, 344-379, 2019 | 90 | 2019 |
| Rolling stock scheduling with maintenance requirements at the Chinese High-Speed Railway Q Zhong, RM Lusby, J Larsen, Y Zhang, Q Peng Transportation Research Part B: Methodological 126, 24-44, 2019 | 70 | 2019 |
| Fault diagnosis of high-speed train suspension systems using multiscale permutation entropy and linear local tangent space alignment Y Ye, Y Zhang, Q Wang, Z Wang, Z Teng, H Zhang Mechanical Systems and Signal Processing 138, 106565, 2020 | 69 | 2020 |
| Deep learning-based fault diagnostic network of high-speed train secondary suspension systems for immunity to track irregularities and wheel wear Y Ye, P Huang, Y Zhang Railway Engineering Science, 1-21, 2022 | 35 | 2022 |
| Open-source VRPLite package for vehicle routing with pickup and delivery: a path finding engine for scheduled transportation systems X Zhou, L Tong, M Mahmoudi, L Zhuge, Y Yao, Y Zhang, P Shang, J Liu, ... Urban Rail Transit 4, 68-85, 2018 | 33 | 2018 |
| Integrated line planning and train timetabling through price-based cross-resolution feedback mechanism Y Zhang, Q Peng, G Lu, Q Zhong, X Yan, X Zhou Transportation Research Part B: Methodological 155, 240-277, 2022 | 32 | 2022 |
| A cumulative service state representation for the pickup and delivery problem with transfers M Mahmoudi, J Chen, T Shi, Y Zhang, X Zhou Transportation Research Part B: Methodological 129, 351-380, 2019 | 32 | 2019 |
| A CNN-Bi_LSTM Parallel Network Approach for Train Travel Time Prediction J Guo, W Wang, Y Tang, Y Zhang, H Zhuge Knowledge-Based Systems, 2022 | 30 | 2022 |
| A fast approach for reoptimization of railway train platforming in case of train delays Y Zhang, Q Zhong, Y Yin, X Yan, Q Peng Journal of advanced transportation 2020, 2020 | 18 | 2020 |
| A Mixed Integer Linear Programming Model for Rolling Stock Deadhead Routing before the Operation Period in an Urban Rail Transit Line Q Zhong, Y Zhang, D Wang, Q Zhong, C Wen, Q Peng Journal of Advanced Transportation 2020 (3809734), 18, 2020 | 13 | 2020 |
| An ADMM-based dual decomposition mechanism for integrating crew scheduling and rostering in an urban rail transit line T Feng, RM Lusby, Y Zhang, Q Peng, P Shang, S Tao Transportation Research Part C: Emerging Technologies 149, 104081, 2023 | 12 | 2023 |
| Evaluating railway operation safety situation in China based on an improved TOPSIS method: A regional perspective X Yan, Q Peng, Y Yin, Y Zhang, Q Zhong Journal of advanced transportation 2020, 1-18, 2020 | 7 | 2020 |
| Arrival and departure tracks utilization adjustment method in railway passenger stations based on Time-space resources QY Peng, YX Zhang, GY Lu, WX Li, T Shi Journal of Tongji University (Natural Science) 47 (7), 1011-1021, 2019 | 7* | 2019 |
| Joint operating revenue and passenger travel cost optimization in urban rail transit W Li, Q Peng, Q Li, C Wen, Y Zhang, J Lessan Journal of Advanced Transportation 2018, 1-15, 2018 | 7 | 2018 |
| Integrating train service route design with passenger flow allocation for an urban rail transit line T Feng, RM Lusby, Y Zhang, Q Peng European Journal of Operational Research 313 (1), 146-170, 2024 | 5 | 2024 |
| An improved density-based approach to risk assessment on railway investment J Guo, J Zhang, Y Zhang, P Xu, L Li, Z Xie, Q Li Data Technologies and Applications, 2021 | 5 | 2021 |
| An affinity propagation-based clustering method for the temporal dynamics management of high-speed railway passenger demand W Wang, T Shi, Y Zhang, Q Zhu Journal of Advanced Transportation 2021, 1-11, 2021 | 5 | 2021 |
| Multi-lane-merging strategy for connected automated vehicles on freeway ramps X Luo, X Li, M Razaur Rahman Shaon, Y Zhang Transportmetrica B: transport dynamics 11 (1), 127-145, 2023 | 4 | 2023 |
Xuesong ZhouArizona State UniversityVerified email at asu.edu
