ARTIFICIAL SUPERINTELLIGENCE-BASED RAILWAY STATION PLATFORM

The present invention relates to an Artificial Superintelligence-Based Railway Station Platform (ASI-RSP) system and method for autonomous, adaptive, and safe management of railway stations. The system integrates multimodal sensing, digital twin simulation, and reinforcement-learning-based decision optimization to monitor, predict, and control station operations in real time. Sensor fusion modules collect visual, acoustic, lidar, radar, and environmental data to generate a unified situational map. An Artificial Superintelligence Core performs predictive modeling, causal reasoning, and policy generation, while a Human-Over-the-Loop Console provides supervised review and explainable decision support. The Actuation Layer executes approved control actions for platform screen doors, gates, escalators, HVAC, and signage, with continuous feedback ensuring adaptive recalibration. The invention enables privacy-preserving analytics, predictive maintenance, and energy optimization while maintaining compliance with safety and ethical standards. The ASI-RSP thereby achieves autonomous yet human-supervised station operation with enhanced safety, efficiency, and sustainability.