Efficient road maintenance is imperative for infrastructure longevity and safety. Conventional ground vehicle-based methods for detecting pavement distress, however, encounter limitations in practice when dealing with complex road structures. Drones, endowed with greater spatial freedom, can access road segments that are hard-to-reach to ground vehicles, thereby enhancing detection efficiency and expanding detection coverage. By harnessing the complementary strengths of both detection modalities, we propose a scheme that capitalizes on the cooperative coordination of drones and ground vehicles for effective pavement distress detection. Our proposed scheme is evaluated using realistic road networks in practice. Results reveal that the coordinated detection scheme strikes a favorable balance between fixed device-related expenses and detection efficiency. This scheme offers promising policy implications, streamlining maintenance across diverse road networks and meeting extensive infrastructure needs, offering policymakers an efficient and viable scheme for road infrastructure maintenance.

高效的道路维护对于基础设施的寿命和安全至关重要。然而，用于检测路面破损的传统的基于地面车辆的方法在处理复杂的道路结构时在实践中遇到了限制。无人机被赋予了更大的空间自由度，可以进入地面车辆难以到达的路段，从而提高检测效率并扩大检测覆盖范围。通过利用两种检测方式的互补优势，我们提出了一种利用无人机和地面车辆的合作协调来有效检测路面病害的方案。我们提出的方案是在实践中使用现实的道路网络进行评估的。结果表明，协调检测方案在固定设备相关费用和检测效率之间取得了良好的平衡。该计划提供了有前景的政策影响，简化了不同道路网络的维护并满足广泛的基础设施需求，为政策制定者提供了有效且可行的道路基础设施维护计划。