提出统一协议框架MCP，解决智能交通系统中协议碎片化问题
Model Context Protocols in Adaptive Transport Systems: A Survey
- 构建MCP五类分类体系，整合自适应机制与上下文感知
- 证实传统协议已到孤立适配极限，MCP支持语义互操作
- 适合研究智能交通、AI驱动网络的学者和工程师参考
互联设备、自动驾驶系统与人工智能应用的快速发展，导致自适应交通系统出现严重协议碎片化，不同协议与上下文源相互隔离。本文首次系统性调研模型上下文协议（Model Context Protocol, MCP）作为统一范式的能力，揭示其在连接协议级自适应与上下文感知决策方面的潜力。通过分析现有文献，发现已有工作正隐含地趋向于MCP式架构，预示着从零散方案向标准化集成框架的自然演进。我们提出一个包含五类的分类体系：自适应机制、上下文感知框架、统一模型、集成策略及MCP赋能架构。研究揭示三大关键洞见：传统传输协议已触及孤立适配的极限；MCP的客户端-服务器与JSON-RPC结构支持语义互操作；人工智能驱动的传输需求亟需独特的集成范式，而MCP正是理想选择。最后，我们提出研究路线图，将MCP定位为下一代自适应、上下文感知、智能传输基础设施的基础。
原文摘要 · Abstract (English)
The rapid expansion of interconnected devices, autonomous systems, and AI applications has created severe fragmentation in adaptive transport systems, where diverse protocols and context sources remain isolated. This survey provides the first systematic investigation of the Model Context Protocol (MCP) as a unifying paradigm, highlighting its ability to bridge protocol-level adaptation with context-aware decision making. Analyzing established literature, we show that existing efforts have implicitly converged toward MCP-like architectures, signaling a natural evolution from fragmented solutions to standardized integration frameworks. We propose a five-category taxonomy covering adaptive mechanisms, context-aware frameworks, unification models, integration strategies, and MCP-enabled architectures. Our findings reveal three key insights: traditional transport protocols have reached the limits of isolated adaptation, MCP's client-server and JSON-RPC structure enables semantic interoperability, and AI-driven transport demands integration paradigms uniquely suited to MCP. Finally, we present a research roadmap positioning MCP as a foundation for next-generation adaptive, context-aware, and intelligent transport infrastructures.
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