| An intelligent control system for traffic lights with simulation-based evaluation J Jin, X Ma, I Kosonen Control Engineering Practice 58, 24-33, 2017 | 127 | 2017 |
| A Multi-Objective Agent-Based Control Approach With Application in Intelligent Traffic Signal System J Jin, X Ma IEEE Transactions on Intelligent Transportation Systems 20 (10), 3900-3912, 2019 | 106 | 2019 |
| Multi-criteria analysis of optimal signal plans using microscopic traffic models X Ma, J Jin, W Lei Transportation Research Part D: Transport and Environment 32, 1-14, 2014 | 87 | 2014 |
| An end-to-end recommendation system for urban traffic controls and management under a parallel learning framework J Jin, H Guo, J Xu, X Wang, FY Wang IEEE Transactions on Intelligent Transportation Systems 22 (3), 1616-1626, 2020 | 82 | 2020 |
| Hierarchical multi-agent control of traffic lights based on collective learning J Jin, X Ma Engineering Applications of Artificial Intelligence 68, 236-248, 2018 | 81 | 2018 |
| A group-based traffic signal control with adaptive learning ability J Jin, X Ma Engineering applications of artificial intelligence 65, 282-293, 2017 | 81 | 2017 |
| DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond C Zhao, Y Lv, J Jin, Y Tian, J Wang, FY Wang IEEE Intelligent Transportation Systems Magazine 14 (6), 6-17, 2022 | 72 | 2022 |
| Adaptive group-based signal control by reinforcement learning J Jin, X Ma Transportation Research Procedia 10, 207-216, 2015 | 64 | 2015 |
| A stochastic optimization framework for road traffic controls based on evolutionary algorithms and traffic simulation J Jin, X Ma, I Kosonen Advances in Engineering Software, 2017 | 55 | 2017 |
| A GAN-based short-term link traffic prediction approach for urban road networks under a parallel learning framework J Jin, D Rong, T Zhang, Q Ji, H Guo, Y Lv, X Ma, FY Wang IEEE Transactions on Intelligent Transportation Systems 23 (9), 16185-16196, 2022 | 53 | 2022 |
| Parallel transportation: virtual-real interaction for intelligent traffic management and control Y Lv, Y Chen, J Jin, Z Li, P Ye, F Zhu Chinese Journal of Intelligent Science and Technology 1 (1), 21-33, 2019 | 50 | 2019 |
| Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework X Li, P Ye, J Jin, F Zhu, FY Wang IEEE Transactions on Intelligent Transportation Systems, 2021 | 40 | 2021 |
| An agent-based traffic recommendation system: Revisiting and revising urban traffic management strategies J Jin, D Rong, Y Pang, P Ye, Q Ji, X Wang, G Wang, FY Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (11), 7289-7301, 2022 | 34 | 2022 |
| Look-ahead speed planning for heavy-duty vehicle platoons using traffic information I Johansson, J Jin, X Ma, H Pettersson Transportation research procedia 22, 561-569, 2017 | 32 | 2017 |
| A non-parametric bayesian framework for traffic-state estimation at signalized intersections J Jin, X Ma Information Sciences 498, 21-40, 2019 | 27 | 2019 |
| Deep imitation learning for traffic signal control and operations based on graph convolutional neural networks X Li, Z Guo, X Dai, Y Lin, J Jin, F Zhu, FY Wang 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 20 | 2020 |
| Adaptive group-based signal control using reinforcement learning with eligibility traces J Jin, X Ma Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International …, 2015 | 20 | 2015 |
| PRECOM: A parallel recommendation engine for control, operations, and management on congested urban traffic networks J Jin, D Rong, Y Pang, F Zhu, H Guo, X Ma, FY Wang IEEE Transactions on Intelligent Transportation Systems 23 (7), 7332-7342, 2021 | 19 | 2021 |
| Optimizing the Shunting Schedule of Electric Multiple Units Depot Using an Enhanced Particle Swarm Optimization Algorithm J Wang, B Lin, J Jin Computational Intelligence and Neuroscience 2016, 2016 | 18 | 2016 |
| SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning X Li, X Wang, X Zheng, J Jin, Y Huang, JJ Zhang, FY Wang Neurocomputing 467, 300-309, 2022 | 15 | 2022 |
Xiaoliang Ma (X. Ma)KTH Royal Institute of Technology確認したメール アドレス: trafficlab.se