Recent research in cloud computing for Vehicular Ad Hoc Networks (VANETs) focuses on integrating cloud, edge, and fog infrastructures to enhance data processing, storage, and service delivery for intelligent transportation systems. The cloud-enabled VANET architecture supports real-time applications such as traffic management, autonomous driving, and safety messaging by offloading computation-intensive tasks to cloud or fog nodes, thereby reducing latency and improving scalability. Researchers emphasize secure and energy-efficient communication frameworks, virtualization techniques, and resource allocation strategies to ensure seamless data exchange between vehicles, roadside units, and cloud servers. The trend also includes the incorporation of artificial intelligence and blockchain technologies to strengthen trust, optimize resource utilization, and maintain data privacy in cloud-assisted vehicular environments.