发表机构
U2IS, ENSTA, Institut Polytechnique de Paris; Ampere Software Technology（巴黎理工学院; 安培软件技术）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对C-ITS中CPS因高频广播无关信息导致拥塞的问题，提出上下文感知自适应过滤器，动态调整CPM内容与频率，在保持安全性能的同时减少93%以上通信量。
AI 中文摘要
确保集体感知服务（CPS）的安全性和可扩展性仍然是协作式智能交通系统（C-ITS）的关键挑战。传统CPS通过广播集体感知消息（CPM）来增强感知能力。然而，其依赖于以高频率传输大量可能与环境无关的信息，导致网络拥塞、处理延迟和可扩展性差。我们提出了一种上下文感知自适应过滤器，该过滤器根据上下文相关性和情境关键性动态调整CPM内容和传输频率。通过优先处理安全关键对象和交互，所提方法在防止信息过载的同时，保留了用于决策的及时更新。一项端到端的SUMO-Artery仿真评估了在不同计算能力层级和传输速率下的安全性、决策效率和通信成本。结果表明，所提出的自适应过滤机制在安全性性能上与以最大允许频率（10赫兹）传输的传统CPM相当，同时将通信量减少了超过93%，并防止了队列饱和。这表明，上下文感知的自适应性使CPS能够在异构计算平台上保持可扩展性和安全性合规性。
英文摘要
Ensuring safety and scalability in Collective Perception Service (CPS) remains a key challenge for Cooperative Intelligent Transport Systems (C-ITS). Conventional CPS enhances perception by broadcasting Collective Perception Messages (CPMs). However, its reliance on transmitting a potentially large volume of context-irrelevant information at high frequency leads to network congestion, processing delays, and poor scalability. We propose a Context-Aware Adaptive Filter that dynamically adjusts CPM content and transmission frequency based on contextual relevance and situational criticality. By prioritizing safety-critical objects and interactions, the proposed approach prevents information overload while preserving timely updates for decision-making. An end-to-end SUMO--Artery simulation evaluates safety, decision-making efficiency, and communication cost under different computational capacity tiers and transmission rates. Results show that the proposed adaptive filtering mechanism achieves safety performance comparable to conventional CPMs transmitted at the maximum allowed frequency (10~Hz), while reducing communication volume by over 93\% and preventing queue saturation. This demonstrates that context-aware adaptivity enables CPS to remain both scalable and safety-compliant across heterogeneous computing platforms.
Journal refThe 29th IEEE International Conference on Intelligent Transportation Systems (ITSC 2026), Sep 2026, Naples, Italy
