While micro-scale traffic simulations provide essential data for urban planning, they are rarely coupled with the high-fidelity visualization or auralization necessary for effective stakeholder communication. In this work, we present a real-time 4D visualization framework that couples the SUMO traffic with a photorealistic, geospatially accurate VR representation of Zurich in Unreal Engine 5. Our architecture implements a robust C++ data pipeline for synchronized vehicle visualization and features an Open Sound Control (OSC) interface to support external auralization engines. We validate the framework through a user study assessing the correlation between simulated traffic dynamics and human perception. Results demonstrate a high degree of perceptual alignment, where users correctly interpret safety risks from the 4D simulation. Furthermore, our findings indicate that the inclusion of spatialized audio alters the user's sense of safety, showing the importance of multimodality in traffic simulations.

翻译：微观交通仿真虽为城市交通规划提供关键数据，但其结果极少与高保真可视化或可听化相结合，而这恰是有效利益相关者沟通的必要条件。本研究提出一种实时四维可视化框架，将SUMO交通仿真与基于虚幻引擎5构建的苏黎世市高保真地理空间虚拟现实表征相耦合。该架构实现了用于同步车辆可视化的鲁棒C++数据管道，并集成开放声音控制（OSC）接口以支持外部可听化引擎。我们通过用户研究验证该框架，评估模拟交通动态与人类感知之间的相关性。结果表明两者具有高度感知一致性——用户能够基于四维仿真正确判读安全风险。此外，研究显示空间化音频的引入会改变用户的安全感知，凸显多模态在交通仿真中的重要性。