Graph neural networks (GNNs) have been extensively used in a wide variety of domains recent years. Owing to their power analyzing graph-structured data, they become broadly popular intelligent transportation systems (ITS) applications as well. Despite widespread different domains, there is no comprehensive review advancements and future research directions that covers all areas. Accordingly, th...

Vehicle-to-everything (V2X) communication and services have been garnering significant interest from different stakeholders as part of future intelligent transportation systems (ITSs). This is due to the many benefits they offer. However, these stringent performance requirements, particularly in terms delay/latency. Multi-access/mobile edge computing (MEC) has proposed a potential solution for ...

Recently, intelligent transportation systems (ITS) attracts more and attention for its wide applications. Traffic sign detection recognition (TSDR) system is an essential task of ITS. It enhances the safety by informing drivers about current state traffic signs offering valuable information precautions. This paper reviews popular methods (TSD) prevalent in recent literature. The are divided int...

The railway transport system is critical infrastructure that exposed to numerous man-made and natural threats, thus protecting this physical asset imperative. Cyber security, privacy, dependability (SPD) are also important, as the operation relies on cyber-physical systems (CPS) systems. This work presents SPD-Safe—an administration framework for CPS, leveraging artificial intelligence monitori...