This paper presents a three-tier secure computing framework for cross-domain vehicle-road-cloud collaboration, integrating Trusted Execution Environments (TEEs), Secure Multi-Party Computation (SMPC), and blockchain technologies. The focus is on architectural flexibility and privacy configurability rather than performance metrics. The framework supports adaptive privacy through multiple SMPC modes—ranging from differential privacy only to high-privacy configurations—allowing dynamic trade-offs between efficiency and security. A hybrid approach combining differential privacy and SMPC enables fine-grained control over the privacy-utility balance. Batch processing optimization further aligns with V2X data flow characteristics. A lightweight blockchain prototype validates data integrity under varying consensus node settings, exploring decentralized trust mechanisms. Experiments based on the VeReMi dataset confirm the feasibility of privacy-preserving processing in vehicular networks using configurable cryptographic layers. While currently at the proof-of-concept stage, the proposed architecture demonstrates a practical and extensible foundation for secure V2X communication, combining privacy, scalability, and real-world adaptability.