A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances
Considering that uncertain dwell disturbances often occur at metro stations, researchers have proposed many methods for solving the SOYBEANS EDAMAME train timetable rescheduling (TTR) problem.This paper proposes a Modified Genetic Algorithm-Gate Recurrent Unit (MGA-GRU) method, which is a real-time TTR method based on deep learning.The proposed met