The train rescheduling of high-speed railway is a complex combination optimization problem with multi constraints. According to the characteristics of main line highspeed railway train dispatching section, the intelligent rescheduling model is set up. Initializing population by chaos opposition-based learning, dynamic convergence factor, premature recognition mechanism and dynamic weight four strategies are proposed to improve the execution performance of the grey wolf optimization algorithm. And then it is adopted to solve the rescheduling model. Finally, they are verified by three scenarios. The simulation results confirm that the intelligent rescheduling model and improved grey wolf optimization algorithm are practicability and effectiveness.
Intelligent Rescheduling Research on Train Dispatching Section of Main Line Highspeed Railway Based on Improved GWO Algorithm
2020-09-01
582032 byte
Conference paper
Electronic Resource
English
Research on Greedy Train Rescheduling Algorithm
British Library Conference Proceedings | 2009
|A new algorithm for train rescheduling using rescheduling pattern
IuD Bahn | 2006
|High-speed railway intelligent train dispatching system and method
European Patent Office | 2020
|A Rescheduling Algorithm of Train-Group for Railway Emergencies and its Parallelization
Tema Archive | 2013
|