Industry Overview
Rail transit is evolving from a "centrally controlled" model toward a distributed intelligence framework characterized by "vehicle-to-vehicle collaboration." Through the application of artificial intelligence, big data, and IoT technologies, these systems can achieve dynamic scheduling with second-level response, proactive safety warnings, and energy efficiency optimization. This intelligent coordination requires breaking down information barriers between subsystems to enable full-network data fusion and unified decision-making, thereby achieving the dynamic optimal allocation of transportation resources. Simultaneously, the system must possess robust capabilities in environmental perception, intelligent computing, and independent decision-making to realize autonomous operation, collaborative control, and integrated safety protection.