<p>The area of vehicular communication networks has experienced a progressive advancement, specifically in the context of Internet-of-Vehicles (IoV). This has transformed the transportation system further with the advent of 6G technologies. With the adoption of 6G, IoV networks also experience voluminous traffic data, leading to various challenges, e.g., increased data delivery, minimal latency, optimised communication between infrastructure and vehicles, and managing voluminous traffic data efficiently. Owing to the heterogeneous nature of IoV networks, data processing and delays are evident, which affects the majority of traffic management services internally in 6 G-based IoV. Therefore, this manuscript introduces a novel baseline architecture by the collaboration of three core layers, i.e., sensing, computing, and application layers, for mitigating these challenges. The proposed architecture is not only meant to support transmission with shorter ranges but also optimises traffic management and vehicular data transmission. The layered architecture and intelligent communication strategy act as pillars of novelty of the proposed model using innovative algorithms towards IoV management. The study outcome shows that the proposed system contributes to 35% of delay reduction, 40% of stabilised links, and minimises response time to 25% in contrast to state-of-the-art approaches. The proposed study model contributes to a novel, reliable, and smarter IoV system, establishing the framework for practical world deployment associated with networked and autonomous vehicles within an urban environment.</p>