| Research and development of automatic train operation for railway transportation systems: A survey J Yin, T Tang, L Yang, J Xun, Y Huang, Z Gao Transportation Research Part C: Emerging Technologies 85, 548-572, 2017 | 354 | 2017 |
| Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches J Yin, L Yang, T Tang, Z Gao, B Ran Transportation Research Part B: Methodological 97, 182-213, 2017 | 327 | 2017 |
| Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach J Yin, T Tang, L Yang, Z Gao, B Ran Transportation Research Part B: Methodological 91, 178-210, 2016 | 309 | 2016 |
| An energy-efficient train operation approach by integrating the metro timetabling and eco-driving S Su, X Wang, Y Cao, J Yin IEEE Transactions on Intelligent Transportation Systems 21 (10), 4252-4268, 2019 | 307 | 2019 |
| Intelligent train operation algorithms for subway by expert system and reinforcement learning J Yin, D Chen, L Li IEEE Transactions on Intelligent Transportation Systems 15 (6), 2561-2571, 2014 | 194 | 2014 |
| Passenger demand oriented train scheduling and rolling stock circulation planning for an urban rail transit line Y Wang, A D’Ariano, J Yin, L Meng, T Tang, B Ning Transportation Research Part B: Methodological 118, 193-227, 2018 | 186 | 2018 |
| Fault diagnosis network design for vehicle on-board equipments of high-speed railway: A deep learning approach J Yin, W Zhao Engineering Applications of Artificial Intelligence 56, 250-259, 2016 | 176 | 2016 |
| Timetable coordination in a rail transit network with time-dependent passenger demand J Yin, A D’Ariano, Y Wang, L Yang, T Tang European Journal of Operational Research 295 (1), 183-202, 2021 | 140 | 2021 |
| An integrated framework for electric vehicle rebalancing and staff relocation in one-way carsharing systems: Model formulation and Lagrangian relaxation-based solution approach M Zhao, X Li, J Yin, J Cui, L Yang, S An Transportation Research Part B: Methodological 117, 542-572, 2018 | 129 | 2018 |
| Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach J Yin, X Ren, R Liu, T Tang, S Su Reliability Engineering & System Safety, 108183, 2022 | 118 | 2022 |
| Cooperative control of high-speed trains for headway regulation: A self-triggered model predictive control based approach J Xun, J Yin, R Liu, F Liu, Y Zhou, T Tang Transportation research part C: emerging technologies 102, 106-120, 2019 | 84 | 2019 |
| An integrated energy-efficient train operation approach based on the space-time-speed network methodology X Wang, T Tang, S Su, J Yin, Z Gao, N Lv Transportation Research Part E: Logistics and Transportation Review 150, 102323, 2021 | 79 | 2021 |
| Energy-efficient train scheduling and rolling stock circulation planning in a metro line: a linear programming approach P Mo, L Yang, A D’Ariano, J Yin, Y Yao, Z Gao IEEE Transactions on Intelligent Transportation Systems 21 (9), 3621-3633, 2019 | 73 | 2019 |
| Energy-efficient subway train scheduling design with time-dependent demand based on an approximate dynamic programming approach R Liu, S Li, L Yang, J Yin IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (7), 2475-2490, 2018 | 66 | 2018 |
| Data-driven approaches for modeling train control models: Comparison and case studies J Yin, S Su, J Xun, T Tang, R Liu ISA transactions 98, 349-363, 2020 | 63 | 2020 |
| Smart train operation algorithms based on expert knowledge and ensemble CART for the electric locomotive J Yin, D Chen, Y Li Knowledge-Based Systems 92, 78-91, 2016 | 57 | 2016 |
| Energy-efficient timetabling and rolling stock circulation planning based on automatic train operation levels for metro lines Y Wang, S Zhu, A D’Ariano, J Yin, J Miao, L Meng Transportation Research Part C: Emerging Technologies 129, 103209, 2021 | 52 | 2021 |
| Data-driven models for train control dynamics in high-speed railways: LAG-LSTM for train trajectory prediction J Yin, C Ning, T Tang Information Sciences 600, 377-400, 2022 | 48 | 2022 |
| Efficient real-time train operation algorithms with uncertain passenger demands J Yin, D Chen, L Yang, T Tang, B Ran IEEE transactions on intelligent transportation systems 17 (9), 2600-2612, 2015 | 42 | 2015 |
| Ridesharing problem with flexible pickup and delivery locations for app-based transportation service: mathematical modeling and decomposition methods M Zhao, J Yin, S An, J Wang, D Feng Journal of Advanced Transportation 2018, 2018 | 39 | 2018 |
Andrea D'ArianoFull Professor @ Roma Tre Universityبريد إلكتروني تم التحقق منه على uniroma3.it
