用数字孪生技术实时预警城市路口多行人安全风险
Multi-Pedestrian Safety Warning at Urban Intersections Use Case of Digital Twin
- 融合摄像头与超宽带定位，构建物理-数字双胞胎系统
- 实测显示预警准确率高，响应时间显著缩短
- 适合智能交通与城市安全研究者参考
城市交通数字孪生系统日益受到关注，但其在安全关键场景中的系统评估仍有限。本文提出一种基于紧密耦合物理-数字孪生框架的多行人安全预警系统，依托纽约市大规模无线测试平台COSMOS，集成摄像头与超宽带（UWB）传感、边缘-云计算、预测轨迹建模及基于MQTT的通信机制，为弱势道路使用者（VRUs）提供实时安全告警。系统通过实地部署与虚拟现实（VR）实验双重验证，结果表明在不同模型配置下具备高预警生成准确率、定位精度和高效端到端延迟，且告警发出后用户响应时间显著降低。所提数字孪生框架具有可扩展性、模块化与通用性，适用于复杂城市路口的实时多行人安全增强。
原文摘要 · Abstract (English)
Digital twins (DTs) for urban transportation systems have gained increasing attention; however, their systematic evaluation in safety-critical scenarios remains limited. This paper presents a multi-pedestrian safety warning system at urban intersections enabled by a tightly coupled physical-digital twin framework. Built upon the COSMOS city-scale wireless testbed in New York City, the proposed system integrates camera and ultra-wideband (UWB), edge-cloud computing, predictive trajectory modeling, and MQTT-based communication to deliver real-time safety alerts to vulnerable road users (VRUs). The system is evaluated through both field deployment and virtual reality (VR) experiments. Results demonstrate high warning generation accuracy, localization accuracy, efficient end-to-end latency under different model configurations, and significant reductions in user response time when warnings are issued. The proposed DT framework provides a scalable, modular, and generalizable solution for real-time multi-pedestrian safety enhancement at complex urban intersections.
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