发表机构
Institute AIFB, Karlsruhe Institute of Technology; School of Information Technology, Halmstad University（卡尔斯鲁厄理工学院AIFB研究所; 哈尔姆斯塔德大学信息技术学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出集成噪声感知的可变限速框架，通过分阶段控制器动态调整限速，可降低2.9 dB(A)噪声，同时维持较高车速，为交通噪声缓解提供实用方案。
AI 中文摘要
道路交通噪声仍是一项重大环境挑战，但多数速度管理策略为静态，无法响应交通噪声排放的短期变化。尽管可变限速（VSL）系统已广泛部署于安全与拥堵缓解场景，但交通噪声极少被作为明确的运行控制目标。本文提出一种感知噪声的VSL框架，该框架将聚合交通状态估计与基于简化CNOSSOS-EU的排放指标相集成。一种具有时变参考阈值的分阶段控制器，会根据估计的排放状况动态调整离散的限速等级。该框架采用经实证高速公路数据校准的微观交通仿真进行评估，并在多个随机实现中重复验证。在24小时评估期内，与无限制交通状况相比，该自适应策略可将基于接收器的等效声级降低2.9 dB(A)，同时维持的平均车速比永久实施低速制度时高出约11.3 km/h。分时段分析显示，仅当排放水平接近校准目标时才会激活速度降低，而非强制实施恒定的中间限速。交通稳定性指标表明，与无限制运行相比，速度变异性略有增加，但制动强度远低于统一低速管控下的水平。这些结果证明，将环境性能指标集成至运行速度控制是可行的，为传统基于基础设施的噪声缓解措施提供了实用补充。
英文摘要
Road traffic noise remains a major environmental challenge, yet most speed management strategies are static and do not respond to short-term variations in traffic noise emissions. Although variable speed limit (VSL) systems are widely deployed for safety and congestion mitigation, traffic noise is rarely treated as an explicit operational control objective. This paper proposes a noise-aware VSL framework that integrates aggregated traffic-state estimation with a simplified CNOSSOS-EU-based emission indicator. A stage-based controller with time-varying reference thresholds dynamically adjusts discrete speed-limit levels in response to estimated emission conditions. The framework is evaluated using microscopic traffic simulation calibrated with empirical motorway data and replicated across multiple stochastic realisations. Over a 24-hour evaluation period, the adaptive strategy reduces the receiver-based equivalent sound level by 2.9 dB(A) relative to unrestricted traffic conditions, while maintaining an average vehicle speed approximately 11.3 km/h higher than a permanently imposed low-speed regime. Period-wise analysis shows that speed reductions are activated selectively when emission levels approach calibrated targets, rather than enforcing a constant intermediate limit. Traffic stability indicators reveal moderate increases in speed variability compared with unrestricted operation, but substantially lower braking intensity than under uniform low-speed enforcement. These results demonstrate the feasibility of integrating environmental performance indicators into operational speed control, providing a practical complement to conventional infrastructure-based noise mitigation measures.
CommentsAccepted for publication at the IEEE Intelligent Transportation Systems Conference (ITSC), 2026
