The field of intelligent transportation systems is moving towards the integration of innovative technologies to enhance latency-aware task offloading, mixed-criticality communication, and infrastructure-to-vehicle communication. Researchers are exploring the potential of quantum-inspired heuristics, software-defined architectures, and hybrid communication systems to optimize real-time offloading strategies and ensure predictable execution of mixed-criticality applications. Noteworthy papers include: Quantum-Inspired Artificial Bee Colony for Latency-Aware Task Offloading in IoV, which introduces a novel algorithm for latency-sensitive task offloading. Towards Timing Isolation for Mixed-Criticality Communication in Software-Defined Vehicles, which presents a layered software architecture for enforcing timing isolation. Design and Optimization of a Hybrid VLC/THz Infrastructure-to-Vehicle Communication System for Intelligent Transportation, which proposes a hybrid communication framework for future 6G-enabled intelligent transportation systems. Adaptive Network Selection for Latency-Aware V2X Systems under Varying Network and Vehicle Densities, which presents an adaptive network selection framework for latency-aware V2X systems.