Real-Time Data Synchronization of V2X Sensing and Aerial Imagery for Sustainable Operation in Subterranean Corridors

Abstract

Achieving real-time data synchronization in complex environments such as subterranean corridors is critical for advancing sustainable operations and ensuring safety in underground infrastructure. The integration of Vehicle-to-Everything (V2X) sensing technologies with aerial imagery presents a promising avenue for augmenting situational awareness and operational efficiency. This paper investigates the framework and methodologies for synchronizing V2X data streams, including vehicular telemetry, environmental sensors, and communication networks, with high-resolution aerial imagery captured by unmanned aerial vehicles (UAVs). By leveraging edge computing, distributed data fusion, and advanced temporal alignment algorithms, the proposed system minimizes latency and ensures consistent data accuracy. The synchronization process is optimized to address challenges such as signal degradation, occlusions, and resource constraints in subterranean environments. The resulting system is demonstrated to improve navigation, hazard detection, and resource allocation within these confined spaces. This research contributes to the body of knowledge by proposing a scalable, energy-efficient framework that facilitates sustainable operations in underground corridors, aligning with goals for environmental conservation and operational resilience. The findings underscore the potential of integrating V2X and aerial imagery to transform subterranean infrastructure management while providing a pathway for future advancements in autonomous navigation and intelligent monitoring systems.