随着智能网联技术在交通运输领域的深入应用，车路协同系统逐步成为智慧交通的核心支撑架构。本文聚焦跨层通信协议的设计与性能优化问题，提出面向性能提升的路径，包括可逆式行为推理模型、统一调度函数框架、事件驱动路径构建方法及语义抽象压缩机制。随后，构建融合 NS-3 与 SUMO 的多场景高保真仿真平台，围绕城市交汇、高速变道等交通形态，验证优化协议的效果。结果表明，所提方案具备高度适应复杂环境的能力，能够为跨层通信协议的进一步发展提供参考。

With the in-depth application of intelligent network technology in the field of transportation, vehicle-road cooperation system has gradually become the core support architecture of intelligent transportation. This paper focuses on the design and performance optimization of cross-layer communication protocols, and proposes a performance-oriented path, including reversible behavior inference model, unified scheduling function framework, event-driven path construction method and semantic abstraction compression mechanism. Then, a multi-scene high-fidelity simulation platform integrating NS-3 and SUMO was constructed to verify the effect of the optimization protocol around traffic patterns such as city intersection and high-speed lane change. The results show that the proposed scheme is highly adaptable to complex environment and can provide reference for the further development of cross-laye communication protocols.