The team is dedicated to research work on analysis and optimization of
railway rescheduling and command system and intelligent decision making
and control to help improve the effectiveness of the system.
Scheduling refers to scheduling in a broad sense,
i.e. the real-time application of resources such as lines,
rolling stock and personnel involved in transportation production.
1. System analysis and optimization
Research content:
(1) Analysis of the constituent elements of the rescheduling system,
the intrinsic evolutionary laws and processes of each element,
and the relationships and interaction mechanisms of the elements.
(2) Optimization of the composition structure of the rescheduling
system and the intrinsic structure of each element.
Methods: Systems Theory, Cybernetics
2. Intelligent decision and control
Research content:
(1) Optimal preparation of scheduling and command plans, simulation theory, methods, techniques and systems.
(2) Management and control integration
Methods: Operations Research, Computer Simulation, Machine Learning
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