Rescheduling Metro Trains in the Over-Crowded Situation After Disruptions with Virtual Coupling Technology and Stop-Skipping Strategy
摘要
This study focuses on the over-crowded situation after disruptions, contributing to fill the gap that applying virtual coupling technology in rescheduling problems in the metro lines. Specifically, both stop-skipping instructions and virtual coupling/decoupling instructions are considered to be sent to the trains in real-time, and a mixed-integer nonlinear programming (MINLP) model is built based on these two kinds of instructions. The proposed model is solved by GUROBI after linearization, and computational results based on a real-world metro line show that by applying virtual coupling technology, the total waiting time of passengers could significantly reduce by nearly 50%. In addition, it is verified that combining virtual coupling technology with the stop-skipping strategy could have an advantage compared with only applying the virtual coupling technology or the stop-skipping strategy.