Research Methodology: Application of Railway Luggage and Package Transportation Scheme Formulation Based on a Dynamic Time-Space Service Network. - Kaige Niu; Jun Liu 061; Ying Wang 042 (Symmetry, 2019)

A Ramp Merging Strategy for Automated Vehicles Considering Vehicle Longitudinal and Latitudinal Dynamics. - Shurong Li; Chong Wei; Ying Wang 042 (ICITE, 2020)

A Deep Adaptive Traffic Signal Controller With Long-Term Planning Horizon and Spatial-Temporal State Definition Under Dynamic Traffic Fluctuations. - Shurong Li; Chong Wei; Xuedong Yan; Lu Ma; Deqi Chen; Ying Wang 042 (IEEE Access, 2020)

A Lagrangian relaxation approach based on a time-space-state network for railway crew scheduling. - Ying Wang 042; Zheming Zhang; Dennis Huisman; Andrea D'Ariano; Jinchuan Zhang (Comput. Ind. Eng., 2022)

Combining Decision Making and Trajectory Planning for Lane Changing Using Deep Reinforcement Learning. - Shurong Li; Chong Wei; Ying Wang 042 (IEEE Trans. Intell. Transp. Syst., 2022)

A decomposition approach to solve the individual railway crew Re-planning problem. - Ying Wang 042; Xiaoyong He; Thomas Breugem; Dennis Huisman (J. Rail Transp. Plan. Manag., 2024)

A Convex Trajectory Planning Method for Autonomous Vehicles Considering Kinematic Feasibility and Bi-State Obstacles Avoidance Effectiveness. - Ying Wang 042; Chong Wei; Shurong Li; Junkai Sun; Jianfei Cao (IEEE Trans. Veh. Technol., 2024)