Adaptive Passenger Flow Prediction in Metro Systems: An Incremental Learning Framework for Evolving Patterns

Abstract

AbstractIntelligent transportation management in metro systems requires accurate and real-time predictions of passenger flow demand. However, current research has mainly focused on static metro systems, overlooking the system’s long-term continuous ...Practical ApplicationsThis research introduces IMGSN, an innovative prediction system designed for metro operators to better manage passenger flow. The system offers two key practical benefits: First, it automatically updates its predictions as the metro ...